Paper Digest: Recent Papers on Autopilot / Self-Driving Car
Paper Digest Team extracted all recent Autopilot / Self-Driving Car related papers on our radar, and generated highlight sentences for them. The results are then sorted by relevance & date. In addition to this ‘static’ page, we also provide a real-time version of this article, which has more coverage and is updated in real time to include the most recent updates on this topic.
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TABLE 1: Paper Digest: Recent Papers on Autopilot / Self-Driving Car
| Paper | Author(s) | Source | Date | |
|---|---|---|---|---|
| 1 | Select2Drive: Pragmatic Communications for Real-Time Collaborative Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Vehicle-to-Everything communications-assisted Autonomous Driving (V2X-AD) has witnessed remarkable advancements in recent years, with pragmatic communications (PragComm) emerging as a promising paradigm for real-time collaboration among vehicles and other agents.Simultaneously, extensive research has explored the interplay between collaborative perception and decision-making in end-to-end driving frameworks.In this work, we revisit the collaborative driving problem and propose the Select2Drive framework to optimize the utilization of limited computational and communication resources.Particularly, to mitigate cumulative latency in perception and decision-making, Select2Drive introduces Distributed Predictive Perception (DPP) by formulating an active prediction paradigm and simplifies high-dimensional semantic feature prediction into computation cost-efficient, motion-aware reconstruction. |
Jiahao Huang; Jianhang Zhu; Rongpeng Li; Zhifeng Zhao; Honggang Zhang; | arxiv-cs.CE | 2025-01-21 |
| 2 | Car-GS: Addressing Reflective and Transparent Surface Challenges in 3D Car Reconstruction Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Third, we observe that reconstruction errors are most prominent when the camera view is nearly orthogonal to glass surfaces. To address this issue, we develop a quality-aware supervision module that adaptively leverages normal priors from a pre-trained large-scale normal model.Experimental results demonstrate that Car-GS achieves precise reconstruction of car surfaces and significantly outperforms prior methods. |
CONGCONG LI et. al. | arxiv-cs.CV | 2025-01-19 |
| 3 | Efficient and Safe Trajectory Planning for Autonomous Agricultural Vehicle Headland Turning in Cluttered Orchard Environments Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This letter presents a novel trajectory planner that enhances the safety and efficiency of AAV headland maneuvers, leveraging advancements in autonomous driving. |
PENG WEI et. al. | arxiv-cs.RO | 2025-01-17 |
| 4 | Modeling Language for Scenario Development of Autonomous Driving Systems Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: However, the interpretation of such diagrams is typically ambiguous, which can lead to misunderstandings among users, making them unsuitable for the development of high-reliability systems. To address this issue, this study introduces a notation called the car position diagram (CPD). |
Toshiaki Aoki; Takashi Tomita; Tatsuji Kawai; Daisuke Kawakami; Nobuo Chida; | arxiv-cs.SE | 2025-01-16 |
| 5 | Explore The Use of Time Series Foundation Model for Car-Following Behavior Analysis Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we apply Chronos, a state-of-the-art public time series foundation model, to analyze car-following behavior using the Open ACC dataset. |
Luwei Zeng; Runze Yan; | arxiv-cs.LG | 2025-01-12 |
| 6 | Vehicle-in-Virtual-Environment (VVE) Based Autonomous Driving Function Development and Evaluation Methodology for Vulnerable Road User Safety Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose a new testing pipeline that sequentially integrates MIL, HIL, and VVE methods to comprehensively develop and evaluate autonomous driving functions. |
Haochong Chen; Xincheng Cao; Levent Guvenc; Bilin Aksun Guvenc; | arxiv-cs.RO | 2025-01-10 |
| 7 | What’s Happening- A Human-centered Multimodal Interpreter Explaining The Actions of Autonomous Vehicles Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper introduces a novel Human-centered Multimodal Interpreter (HMI) system that leverages human preferences to provide visual, textual, and auditory feedback. |
XUEWEN LUO et. al. | arxiv-cs.HC | 2025-01-09 |
| 8 | Vision-Language Models for Autonomous Driving: CLIP-Based Dynamic Scene Understanding Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This study developed a dynamic scene retrieval system using Contrastive Language-Image Pretraining (CLIP) models, which can be optimized for real-time deployment on edge devices. |
MOHAMMED ELHENAWY et. al. | arxiv-cs.CV | 2025-01-09 |
| 9 | Is Your Autonomous Vehicle Safe? Understanding The Threat of Electromagnetic Signal Injection Attacks on Traffic Scene Perception Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Our research provides a comprehensive simulation and evaluation framework, aiming to enhance the development of more robust AI models and secure intelligent systems, ultimately contributing to the advancement of safer and more reliable technology across various fields. |
WENHAO LIAO et. al. | arxiv-cs.CR | 2025-01-09 |
| 10 | The Global Consensus on The Risk Management of Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In a global experimental study in eight countries with different cultural backgrounds and almost 11,000 participants, we compared risk distribution preferences. |
Sebastian Krügel; Matthias Uhl; | arxiv-cs.CY | 2025-01-09 |
| 11 | Evaluating Scenario-based Decision-making for Interactive Autonomous Driving Using Rational Criteria: A Survey Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This survey reviews the application of DRL algorithms in autonomous driving across typical scenarios, summarizing road features and recent advancements. |
ZHEN TIAN et. al. | arxiv-cs.RO | 2025-01-03 |
| 12 | Research on Vehicle Detection Based on Improved YOLOv8 Network Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: However, the variability of the actual road environment and the diverse characteristics of vehicles and pedestrians together constitute a huge obstacle to improving detection accuracy, posing a serious challenge to the realization of this goal. To address the above issues, this paper proposes an improved YOLOv8 vehicle detection method. |
Haocheng Guo; Yaqiong Zhang; Lieyang Chen; Arfat Ahmad Khan; | arxiv-cs.CV | 2024-12-31 |
| 13 | DEMO: A Dynamics-Enhanced Learning Model for Multi-Horizon Trajectory Prediction in Autonomous Vehicles Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we introduce the Dynamics-Enhanced Learning MOdel (DEMO), a novel approach that combines a physics-based Vehicle Dynamics Model with advanced deep learning algorithms. |
Chengyue Wang; Haicheng Liao; Kaiqun Zhu; Guohui Zhang; Zhenning Li; | arxiv-cs.RO | 2024-12-30 |
| 14 | Revolutionizing Mobility:The Latest Advancements in Autonomous Vehicle Technology Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper explores the cutting-edge technologies driving the evolution of AVs,thechallengesfacedintheirdeployment,andthepotentialsocietal,economic,and regulatory impacts. |
Venkata Sai Chandra Prasanth Narisetty; Tejaswi Maddineni; | arxiv-cs.CE | 2024-12-29 |
| 15 | Leveraging Large Language Models for Enhancing Autonomous Vehicle Perception Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper presents a novel framework for incorporating LLMs into AV perception, enabling advanced contextual understanding, seamless sensor integration, and enhanced decision support. |
Athanasios Karagounis; | arxiv-cs.RO | 2024-12-28 |
| 16 | Zero-shot Hazard Identification in Autonomous Driving: A Case Study on The COOOL Benchmark Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper presents our submission to the COOOL competition, a novel benchmark for detecting and classifying out-of-label hazards in autonomous driving. |
Lukas Picek; Vojtěch Čermák; Marek Hanzl; | arxiv-cs.CV | 2024-12-27 |
| 17 | GSAVS: Gaussian Splatting-based Autonomous Vehicle Simulator Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we introduce GSAVS, an autonomous vehicle simulator that supports the creation and development of autonomous vehicle models. |
Rami Wilson; | arxiv-cs.RO | 2024-12-25 |
| 18 | SimADFuzz: Simulation-Feedback Fuzz Testing for Autonomous Driving Systems Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we focus on simulation testing for ADS, where generating diverse and effective testing scenarios is a central task. |
Huiwen Yang; Yu Zhou; Taolue Chen; | arxiv-cs.SE | 2024-12-18 |
| 19 | SafeDrive: Knowledge- and Data-Driven Risk-Sensitive Decision-Making for Autonomous Vehicles with Large Language Models Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: However, ensuring safety in dynamic, high-risk environments and managing safety-critical long-tail events remain significant challenges. To address these issues, we propose SafeDrive, a knowledge- and data-driven risk-sensitive decision-making framework to enhance AV safety and adaptability. |
ZHIYUAN ZHOU et. al. | arxiv-cs.AI | 2024-12-17 |
| 20 | Performance Evaluation of ROS2-DDS Middleware Implementations Facilitating Cooperative Driving in Autonomous Vehicle Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: The communication between vehicles or robots or ROS2 nodes depends directly on the vendor-specific configuration, data type, data size, and the DDS implementation used as middleware; in our study, we evaluate and investigate the limitations, capabilities, and prospects of the different domain communication for various vendor-specific DDS implementations for diverse sensor data type. |
Sumit Paul; Danh Lephuoc; Manfred Hauswirth; | arxiv-cs.RO | 2024-12-10 |
| 21 | ITPNet: Towards Instantaneous Trajectory Prediction for Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To this end, we propose a general and plug-and-play instantaneous trajectory prediction approach, called ITPNet. |
RONGQING LI et. al. | arxiv-cs.CV | 2024-12-10 |
| 22 | DoScenes: An Autonomous Driving Dataset with Natural Language Instruction for Human Interaction and Vision-Language Navigation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper introduces doScenes, a novel dataset designed to facilitate research on human-vehicle instruction interactions, focusing on short-term directives that directly influence vehicle motion. |
PARTHIB ROY et. al. | arxiv-cs.CV | 2024-12-08 |
| 23 | VTD: Visual and Tactile Database for Driver State and Behavior Perception Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To address the subjective uncertainties in driver state and interaction behaviors, which are pivotal to the safety of Human-in-the-loop co-driving systems, we introduce a novel visual-tactile perception method. |
JIE WANG et. al. | arxiv-cs.RO | 2024-12-06 |
| 24 | Stag-1: Towards Realistic 4D Driving Simulation with Video Generation Model Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Despite advancements in existing methods for generating driving scenes, significant challenges remain in view transformation and spatial-temporal dynamic modeling. To address these limitations, we propose a Spatial-Temporal simulAtion for drivinG (Stag-1) model to reconstruct real-world scenes and design a controllable generative network to achieve 4D simulation. |
LENING WANG et. al. | arxiv-cs.CV | 2024-12-06 |
| 25 | Learning Based MPC for Autonomous Driving Using A Low Dimensional Residual Model Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, a learning based Model Predictive Control (MPC) using a low dimensional residual model is proposed for autonomous driving. |
Yaoyu Li; Chaosheng Huang; Dongsheng Yang; Wenbo Liu; Jun Li; | arxiv-cs.RO | 2024-12-05 |
| 26 | Data Fusion of Semantic and Depth Information in The Context of Object Detection Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, classification, and estimation of an object’s (pedestrian) position (concerning an ego 3D coordinate system) are studied and the distance between the ego vehicle and the object in the context of autonomous driving is measured. |
Md Abu Yusuf; Md Rezaul Karim Khan; Partha Pratim Saha; Mohammed Mahbubur Rahaman; | arxiv-cs.CV | 2024-12-04 |
| 27 | HUGSIM: A Real-Time, Photo-Realistic and Closed-Loop Simulator for Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In terms of rendering, We tackle challenges of novel view synthesis in closed-loop scenarios, including viewpoint extrapolation and 360-degree vehicle rendering. |
HONGYU ZHOU et. al. | arxiv-cs.CV | 2024-12-02 |
| 28 | FedPAW: Federated Learning with Personalized Aggregation Weights for Urban Vehicle Speed Prediction Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Existing methods may not realize personalized vehicle speed prediction while protecting drivers’ data privacy. We propose a Federated learning framework with Personalized Aggregation Weights (FedPAW) to overcome these challenges. |
YUEPENG HE et. al. | arxiv-cs.AI | 2024-12-02 |
| 29 | RoadGen: Generating Road Scenarios for Autonomous Vehicle Testing Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: The resulting road scenarios lack diversity in both topology and geometry. To address this problem, we propose RoadGen to systematically generate diverse road scenarios. |
Fan Yang; You Lu; Bihuan Chen; Peng Qin; Xin Peng; | arxiv-cs.SE | 2024-11-29 |
| 30 | AdvFuzz: Finding More Violations Caused By The EGO Vehicle in Simulation Testing By Adversarial NPC Vehicles Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we propose the concept of adversarial NPC vehicles and introduce AdvFuzz, a novel simulation testing approach, to generate adversarial scenarios on main lanes (e.g., urban roads and highways). |
You Lu; Yifan Tian; Dingji Wang; Bihuan Chen; Xin Peng; | arxiv-cs.SE | 2024-11-29 |
| 31 | A Cost-Effective Approach to Smooth A* Path Planning for Autonomous Vehicles Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: By adapting the A* algorithm for a curvature constraint and incorporating a cost function that considers the smoothness of possible paths, we aim to bridge the gap between grid based path planning and smooth paths that are drivable by car-like vehicles. |
Lukas Schichler; Karin Festl; Selim Solmaz; Daniel Watzenig; | arxiv-cs.RO | 2024-11-27 |
| 32 | Explainable Deep Learning Improves Human Mental Models of Self-driving Cars Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Here, we introduce concept-wrapper network (i.e., CW-Net), a method for explaining the behavior of black-box motion planners by grounding their reasoning in human-interpretable concepts. |
EOIN M. KENNY et. al. | arxiv-cs.RO | 2024-11-27 |
| 33 | LiDAR-based End-to-end Temporal Perception for Vehicle-Infrastructure Cooperation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: However, this task is hindered by significant challenges, including incomplete perception caused by occluded objects and observational blind spots, which are common in single-vehicle perception systems. To address these issues, we introduce LET-VIC, a LiDAR-based End-to-End Tracking framework for Vehicle-Infrastructure Cooperation (VIC). |
ZHENWEI YANG et. al. | arxiv-cs.CV | 2024-11-22 |
| 34 | A Systematic Study of Multi-Agent Deep Reinforcement Learning for Safe and Robust Autonomous Highway Ramp Entry Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: The work presented in this paper extends existing work by studying the interaction of more than two vehicles (agents) and does so by systematically expanding the road scene with additional traffic and ego vehicles. |
Larry Schester; Luis E. Ortiz; | arxiv-cs.RO | 2024-11-21 |
| 35 | DKMGP: A Gaussian Process Approach to Multi-Task and Multi-Step Vehicle Dynamics Modeling in Autonomous Racing Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we introduce the Deep Kernel-based Multi-task Gaussian Process (DKMGP), which leverages the structure of a variational multi-task and multi-step Gaussian process model enhanced with deep kernel learning for vehicle dynamics modeling. |
Jingyun Ning; Madhur Behl; | arxiv-cs.RO | 2024-11-20 |
| 36 | LaVida Drive: Vision-Text Interaction VLM for Autonomous Driving with Token Selection, Recovery and Enhancement Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This results in the loss of critical details and the difficulty in effectively integrating spatial and temporal information, undermining fine-grained perception and temporal coherence essential for effective decision-making. To tackle these challenges, we introduce LaVida Drive, a novel and efficient VQA framework for autonomous driving. |
Siwen Jiao; Yangyi Fang; Baoyun Peng; Wangqun Chen; Bharadwaj Veeravalli; | arxiv-cs.CV | 2024-11-19 |
| 37 | Multilayer Occupancy Grid for Obstacle Avoidance in An Autonomous Ground Vehicle Using RGB-D Camera Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This work describes the process of integrating a depth camera into the navigation system of a self-driving ground vehicle (SDV) and the implementation of a multilayer costmap that enhances the vehicle’s obstacle identification process by expanding its two-dimensional field of view, based on 2D LIDAR, to a three-dimensional perception system using an RGB-D camera. |
Jhair S. Gallego; Ricardo E. Ramirez; | arxiv-cs.RO | 2024-11-19 |
| 38 | High-Speed Cornering Control and Real-Vehicle Deployment for Autonomous Electric Vehicles Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This study introduces an innovative control framework that integrates trajectory optimization with drift maneuvers, aiming to improve the algorithm’s adaptability for real-vehicle implementation. |
SHIYUE ZHAO et. al. | arxiv-cs.RO | 2024-11-18 |
| 39 | V2X-Radar: A Multi-modal Dataset with 4D Radar for Cooperative Perception Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, to bridge the gap of missing 4D Radar datasets in cooperative perception, we present V2X-Radar, the first large real-world multi-modal dataset featuring 4D Radar. |
LEI YANG et. al. | arxiv-cs.CV | 2024-11-16 |
| 40 | Explanation for Trajectory Planning Using Multi-modal Large Language Model for Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: However, the existing approaches generate reasoning text that inadequately reflects the future plans of the ego vehicle, because they train models to output captions using momentary control signals as inputs. In this study, we propose a reasoning model that takes future planning trajectories of the ego vehicle as inputs to solve this limitation with the dataset newly collected. |
SHOTA YAMAZAKI et. al. | arxiv-cs.CV | 2024-11-15 |
| 41 | HOW RIDE SHARING AND AUTONOMOUS VEHICLES IMPACT CUSTOMER USAGE AND RELIABILITY Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The concept of Autonomous Vehicles ultimately generating an “order of magnitude” potential increase in the duty or usage cycle of a vehicle needs to be addressed in terms of … |
James M. Wasiloff; | SAE Technical Paper Series | 2024-11-15 |
| 42 | Autonomous Vehicle Safety Reasoning Utilizing Anticipatory Theory Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Today we have autonomous vehicles already on select road-ways and regions of this country operating in and around humans and human operated vehicles. The companies developing and … |
P. Frederick; M. Rose; K. Cheok; | SAE Technical Paper Series | 2024-11-15 |
| 43 | AUTONOMY MODELING AND VALIDATION IN A HIGHLY UNCERTAIN ENVIRONMENT Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: This paper describes a simulation model for autonomous vehicles operating in highly uncertain environments. Two elements of uncertainty are studied – … |
Hesham Alghodhaifi; S. Lakshmanan; Stanley S. Baek; P. Richardson; | SAE Technical Paper Series | 2024-11-15 |
| 44 | Are M&S Tools Ready for Assessing Off-road Mobility of Autonomous Vehicles? Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Autonomous systems are the future of the Army and Ground Vehicle Systems Center has aligned itself accordingly to support unmanned ground vehicle (UGV) development. Physically … |
MICHAEL P. COLE et. al. | SAE Technical Paper Series | 2024-11-15 |
| 45 | Planning By Simulation: Motion Planning with Learning-based Parallel Scenario Prediction for Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose a novel motion Planning approach by Simulation with learning-based parallel scenario prediction (PS). |
Tian Niu; Kaizhao Zhang; Zhongxue Gan; Wenchao Ding; | arxiv-cs.RO | 2024-11-14 |
| 46 | DiffRoad: Realistic and Diverse Road Scenario Generation for Autonomous Vehicle Testing Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose DiffRoad, a novel diffusion model designed to produce controllable and high-fidelity 3D road scenarios. |
Junjie Zhou; Lin Wang; Qiang Meng; Xiaofan Wang; | arxiv-cs.RO | 2024-11-14 |
| 47 | DP and QP Based Decision-making and Planning for Autonomous Vehicle Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper introduces a decision-making and planning framework for autonomous vehicles, leveraging dynamic programming (DP) for global path planning and quadratic programming (QP) for local trajectory optimization. |
Zhicheng Zhang; | arxiv-cs.RO | 2024-11-11 |
| 48 | Knowledge Distillation Neural Network for Predicting Car-following Behaviour of Human-driven and Autonomous Vehicles Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Using a real-world trajectory dataset, this study uses descriptive and statistical analysis to investigate the car-following behaviours of three vehicle pairs: HDV-AV, AV-HDV and HDV-HDV in mixed traffic. |
Ayobami Adewale; Chris Lee; Amnir Hadachi; Nicolly Lima da Silva; | arxiv-cs.LG | 2024-11-08 |
| 49 | Developing A Safety Management System for The Autonomous Vehicle Industry Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Several frameworks for an AV industry SMS have been proposed or are currently under development. |
David Wichner; Jeffrey Wishart; Jason Sergent; Sunder Swaminathan; | arxiv-cs.RO | 2024-11-08 |
| 50 | Foundations for The Psychological Safety of Human and Autonomous Vehicles Interaction Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Through a review of existing safety techniques, the paper defines psychological safety in the context of autonomous vehicles, proposes a risk model to identify and assess psychological risks, and adopts a system-theoretic analysis method. |
YANDIKA SIRGABSOU et. al. | arxiv-cs.HC | 2024-11-08 |
| 51 | Interaction-Aware Trajectory Prediction for Safe Motion Planning in Autonomous Driving: A Transformer-Transfer Learning Approach Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Despite intensive research on driver behavior prediction, existing approaches typically overlook the interactions between AVs and HDVs assuming that HDV trajectories are not affected by AV actions. To address this gap, we present a transformer-transfer learning-based interaction-aware trajectory predictor for safe motion planning of autonomous driving, focusing on a vehicle-to-vehicle (V2V) interaction scenario consisting of an AV and an HDV. |
JINHAO LIANG et. al. | arxiv-cs.RO | 2024-11-03 |
| 52 | Game-Theoretic Lane Change Decision-Making Method Considering Traffic Trend Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In order to improve the safety and adaptability of the lane-changing decision process of autonomous vehicle, a lane-changing decision-making method considering the traffic trend … |
XINGHAO LU et. al. | IEEE Transactions on Industrial Electronics | 2024-11-01 |
| 53 | Research on Vehicle Trajectory Prediction Methods in Urban Main Road Scenarios Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In the autonomous driving realm, it is crucial to accurately predict the trajectory of other traffic vehicles around an autonomous vehicle. This paper proposes a novel scheme to … |
SUMIN ZHANG et. al. | IEEE Transactions on Intelligent Transportation Systems | 2024-11-01 |
| 54 | YOLOv11 for Vehicle Detection: Advancements, Performance, and Applications in Intelligent Transportation Systems Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper presents a detailed analysis of YOLO11, the latest advancement in the YOLO series of deep learning models, focusing exclusively on vehicle detection tasks. |
Mujadded Al Rabbani Alif; | arxiv-cs.CV | 2024-10-30 |
| 55 | EMMA: End-to-End Multimodal Model for Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We introduce EMMA, an End-to-end Multimodal Model for Autonomous driving. |
JYH-JING HWANG et. al. | arxiv-cs.CV | 2024-10-30 |
| 56 | Self-Driving Car Racing: Application of Deep Reinforcement Learning Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Motivated by the rise of AI-driven mobility and autonomous racing events, the project aims to develop an AI agent that efficiently drives a simulated car in the OpenAI Gymnasium CarRacing environment. |
Florentiana Yuwono; Gan Pang Yen; Jason Christopher; | arxiv-cs.AI | 2024-10-30 |
| 57 | An Efficient Approach to Generate Safe Drivable Space By LiDAR-Camera-HDmap Fusion Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose an accurate and robust perception module for Autonomous Vehicles (AVs) for drivable space extraction. |
MINGHAO NING et. al. | arxiv-cs.RO | 2024-10-29 |
| 58 | Reference-Free Formula Drift with Reinforcement Learning: From Driving Data to Tire Energy-Inspired, Real-World Policies Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We investigate real-time drifting strategies that put the car where needed while bypassing expensive trajectory optimization. |
Franck Djeumou; Michael Thompson; Makoto Suminaka; John Subosits; | arxiv-cs.RO | 2024-10-28 |
| 59 | Empowering Autonomous Shuttles with Next-Generation Infrastructure Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper presents the concept, implementation, and evaluation of a proof-of-concept deployment of an autonomous shuttle integrated with smart infrastructure at a public fair. |
SVEN OCHS et. al. | arxiv-cs.RO | 2024-10-28 |
| 60 | Efficient Mixture-of-Expert for Video-based Driver State and Physiological Multi-task Estimation in Conditional Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this study, we propose a novel multi-task DMS, termed VDMoE, which leverages RGB video input to monitor driver states non-invasively. |
JIYAO WANG et. al. | arxiv-cs.CV | 2024-10-28 |
| 61 | YOLO-Vehicle-Pro: A Cloud-Edge Collaborative Framework for Object Detection in Autonomous Driving Under Adverse Weather Conditions Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: However, in low-visibility environments such as hazy conditions, the performance of traditional object detection algorithms often degrades significantly, failing to meet the demands of autonomous driving. To address this challenge, this paper proposes two innovative deep learning models: YOLO-Vehicle and YOLO-Vehicle-Pro. |
XIGUANG LI et. al. | arxiv-cs.CV | 2024-10-23 |
| 62 | Real-time Vehicle-to-Vehicle Communication Based Network Cooperative Control System Through Distributed Database and Multimodal Perception: Demonstrated in Crossroads Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This paper introduces a novel Real-time Vehicle-to-Vehicle Communication Based Network Cooperative Control System (VVCCS), designed to revolutionize macro-scope traffic planning and collision avoidance in autonomous driving. |
XINWEN ZHU et. al. | arxiv-cs.RO | 2024-10-23 |
| 63 | Pedestrian Motion Prediction Evaluation for Urban Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: However, a relatively unexplored angle is the integration of the state-of-art solutions into existing autonomous driving stacks and evaluating them in real-life conditions rather than sanitized datasets. We analyze selected publications with provided open-source solutions and provide a perspective obtained by integrating them into existing Autonomous Driving framework – Autoware Mini and performing experiments in natural urban conditions in Tartu, Estonia to determine valuability of traditional motion prediction metrics. |
Dmytro Zabolotnii; Yar Muhammad; Naveed Muhammad; | arxiv-cs.RO | 2024-10-22 |
| 64 | Managing Bandwidth: The Key to Cloud-Assisted Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We argue that we can, and must. |
ALEXANDER KRENTSEL et. al. | arxiv-cs.NI | 2024-10-21 |
| 65 | Large Language Models for Autonomous Driving (LLM4AD): Concept, Benchmark, Simulation, and Real-Vehicle Experiment Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Our research highlights the significant potential of LLMs to enhance various aspects of autonomous vehicle technology, from perception and scene understanding to language interaction and decision-making. |
CAN CUI et. al. | arxiv-cs.RO | 2024-10-20 |
| 66 | Learning Autonomous Driving from Aerial Imagery Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we consider the problem of learning end to end perception to control for ground vehicles solely from aerial imagery. |
Varun Murali; Guy Rosman; Sertac Karaman; Daniela Rus; | arxiv-cs.RO | 2024-10-18 |
| 67 | UniDrive: Towards Universal Driving Perception Across Camera Configurations Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we present UniDrive, a novel framework for vision-centric autonomous driving to achieve universal perception across camera configurations. |
Ye Li; Wenzhao Zheng; Xiaonan Huang; Kurt Keutzer; | arxiv-cs.CV | 2024-10-17 |
| 68 | An Online Self-learning Graph-based Lateral Controller for Self-Driving Cars Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper uses graphs to present novel techniques to learn the vehicle model and the lateral controller online. |
Jilan Samiuddin; Benoit Boulet; Di Wu; | arxiv-cs.RO | 2024-10-15 |
| 69 | Generating Driving Simulations Via Conversation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To aid the testing of autonomous vehicles in simulation, we design a natural language interface, using an instruction-following large language model, to assist a non-coding domain expert in synthesising the desired scenarios and vehicle behaviours. |
Rimvydas Rubavicius; Antonio Valerio Miceli-Barone; Alex Lascarides; Subramanian Ramamoorthy; | arxiv-cs.CL | 2024-10-13 |
| 70 | Transforming In-Vehicle Network Intrusion Detection: VAE-based Knowledge Distillation Meets Explainable AI Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper introduces an advanced intrusion detection system (IDS) called KD-XVAE that uses a Variational Autoencoder (VAE)-based knowledge distillation approach to enhance both performance and efficiency. |
Muhammet Anil Yagiz; Pedram MohajerAnsari; Mert D. Pese; Polat Goktas; | arxiv-cs.CR | 2024-10-11 |
| 71 | RGM: Reconstructing High-fidelity 3D Car Assets with Relightable 3D-GS Generative Model from A Single Image Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: As a result, the generated assets are unsuitable for relighting under varying lighting conditions, limiting their applicability in downstream tasks. To address this challenge, we propose a novel relightable 3D object generative framework that automates the creation of 3D car assets, enabling the swift and accurate reconstruction of a vehicle’s geometry, texture, and material properties from a single input image. |
XIAOXUE CHEN et. al. | arxiv-cs.CV | 2024-10-10 |
| 72 | Autonomous Driving in Unstructured Environments: How Far Have We Come? Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This review aims to consolidate knowledge and encourage further research for autonomous driving in unstructured environments. |
CHEN MIN et. al. | arxiv-cs.RO | 2024-10-10 |
| 73 | Overcoming Autoware-Ubuntu Incompatibility in Autonomous Driving Systems-Equipped Vehicles: Lessons Learned Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: The objective of the paper is to provide an explicit and detail-oriented presentation to showcase how to address incompatibility issues among an autonomous vehicle’s operating interference. |
Dada Zhang; Md Ruman Islam; Pei-Chi Huang; Chun-Hsing Ho; | arxiv-cs.RO | 2024-10-08 |
| 74 | STOP! Camera Spoofing Via The In-Vehicle IP Network Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We demonstrate the effectiveness of the width-varying defense through theoretical analysis and by an extensive evaluation of several types of attack in a wide range of realistic road driving conditions. |
Dror Peri; Avishai Wool; | arxiv-cs.CR | 2024-10-07 |
| 75 | Data-driven Diffusion Models for Enhancing Safety in Autonomous Vehicle Traffic Simulations Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: However, current diffusion-based methods fail to adequately address the complexity of driver behavior and traffic density information, both of which significantly influence driver decision-making processes. In this work, we present a novel approach to overcome these limitations by introducing adversarial guidance functions for diffusion models that incorporate behavior complexity and traffic density, thereby enhancing the generation of more effective and realistic safety-critical traffic scenarios. |
Jinxiong Lu; Shoaib Azam; Gokhan Alcan; Ville Kyrki; | arxiv-cs.RO | 2024-10-07 |
| 76 | A Simulation Benchmark for Autonomous Racing with Large-Scale Human Data Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we propose a racing simulation platform based on the simulator Assetto Corsa to test, validate, and benchmark autonomous driving algorithms, including reinforcement learning (RL) and classical Model Predictive Control (MPC), in realistic and challenging scenarios. |
ADRIAN REMONDA et. al. | nips | 2024-10-07 |
| 77 | Behavior Trees in Functional Safety Supervisors for Autonomous Vehicles Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This paper introduces a novel software architecture based on behavior trees, aligned with established standards and designed to supervise vehicle functional safety in real time. |
Carlos Conejo; Vicenç Puig; Bernardo Morcego; Francisco Navas; Vicente Milanés; | arxiv-cs.RO | 2024-10-03 |
| 78 | A Security Protocol for Vehicle Platoon Verification Using Optical Camera Communications Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In autonomous vehicle platooning, members of the platoon not only use their own sensor data for making driving decisions. They also rely on data shared by other members of the … |
Michael Plattner; E. Sonnleitner; Gerald Ostermayer; | IEEE Transactions on Intelligent Transportation Systems | 2024-10-01 |
| 79 | 3D Skeleton Aware Driver Behavior Recognition Framework for Autonomous Driving System Related Papers Related Patents Related Grants Related Venues Related Experts View |
Rongtian Huo; Junkang Chen; Ye Zhang; Qing Gao; | Neurocomputing | 2024-10-01 |
| 80 | Safe Reinforcement Learning in Autonomous Driving With Epistemic Uncertainty Estimation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Safety is one of the critical challenges in the autonomous driving task. Recent works address the safety by implementing a safe reinforcement learning (safe RL) mechanism. … |
Zhengran Zhang; Qi Liu; Yanjie Li; Ke Lin; Linyu Li; | IEEE Transactions on Intelligent Transportation Systems | 2024-10-01 |
| 81 | Evaluating Autonomous Vehicle Safety Performance Through Analysis of Pre-Crash Trajectories of Powered Two-Wheelers Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: To ensure the safety of Autonomous Vehicles (AVs), thorough testing across virtual simulation environments, closed facilities, and public roads is essential. Scenario-based … |
RUI ZHOU et. al. | IEEE Transactions on Intelligent Transportation Systems | 2024-10-01 |
| 82 | VQA-Diff: Exploiting VQA and Diffusion for Zero-Shot Image-to-3D Vehicle Asset Generation in Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This leads to their poor zero-shot prediction capability to handle real-world observations with occlusion or tricky viewing angles. To solve this problem, in this work, we propose VQA-Diff, a novel framework that leverages in-the-wild vehicle images to create photorealistic 3D vehicle assets for autonomous driving. |
YIBO LIU et. al. | eccv | 2024-09-30 |
| 83 | TrafficNight : An Aerial Multimodal Benchmark For Nighttime Vehicle Surveillance Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This hampers progress in driving behavior analysis and imitation. To address these limitations, we introduce a novel multimodal vehicle surveillance dataset, integrating aerial thermal infrared and sRGB imagery. |
Guoxing Zhang; Yiming Liu; xiaoyu yang; Chao Huang; HUANG Hailong; | eccv | 2024-09-30 |
| 84 | WTS: A Pedestrian-Centric Traffic Video Dataset for Fine-grained Spatial-Temporal Understanding Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we address the challenge of fine-grained video event understanding in traffic scenarios, vital for autonomous driving and safety.To fill this gap, we introduce the WTS dataset, highlighting detailed behaviors of both vehicles and pedestrians across over 1.2k video events in over hundreds traffic scenarios. |
QUAN KONG et. al. | eccv | 2024-09-30 |
| 85 | Generative End-to-End Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose GenAD, a generative framework that casts autonomous driving into a generative modeling problem. |
Wenzhao Zheng; Ruiqi Song; Xianda Guo; Chenming Zhang; Long Chen; | eccv | 2024-09-30 |
| 86 | PPAD: Iterative Interactions of Prediction and Planning for End-to-end Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We present a new interaction mechanism of prediction and planning for end-to-end autonomous driving, called PPAD (Iterative Interaction of Prediction and Planning Autonomous Driving), which considers the timestep-wise interaction to better integrate prediction and planning. |
Zhili Chen; Maosheng Ye; Shuangjie Xu; Tongyi Cao; Qifeng Chen; | eccv | 2024-09-30 |
| 87 | Reason2Drive: Towards Interpretable and Chain-based Reasoning for Autonomous Driving IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Despite their potential, research in autonomous systems is hindered by the lack of datasets with annotated reasoning chains that explain the decision-making processes in driving. To bridge this gap, we present Reason2Drive, a benchmark dataset with over 600K video-text pairs, aimed at facilitating the study of interpretable reasoning in complex driving environments. |
MING NIE et. al. | eccv | 2024-09-30 |
| 88 | Risk-Aware Self-Consistent Imitation Learning for Trajectory Planning in Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We argue that existing training processes may not endow models with an understanding of how the physical world evolves. To address this gap, we propose RaSc, which stands for Risk-aware Self-consistent imitation learning. |
Yixuan Fan; Ya-Li Li; Shengjin Wang; | eccv | 2024-09-30 |
| 89 | VAP: The Vulnerability-Adaptive Protection Paradigm Toward Reliable Autonomous Machines Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper presents the key insight that to achieve high protection coverage with minimal cost, we must leverage the inherent variations in robustness across different layers of the autonomous machine software stack. |
ZISHEN WAN et. al. | arxiv-cs.RO | 2024-09-29 |
| 90 | Multimodal Trajectory Prediction for Autonomous Driving on Unstructured Roads Using Deep Convolutional Network Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: A method is proposed to predict multiple possible trajectories and their probabilities of the target vehicle. |
LEI LI et. al. | arxiv-cs.AI | 2024-09-26 |
| 91 | Discovering New Shadow Patterns for Black-Box Attacks on Lane Detection of Autonomous Vehicles Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we introduce a novel approach to generate AEs using what we term negative shadows: deceptive patterns of light on the road created by strategically blocking sunlight, which then cast artificial lane-like patterns. |
PEDRAM MOHAJERANSARI et. al. | arxiv-cs.CR | 2024-09-26 |
| 92 | Improving Agent Behaviors with RL Fine-tuning for Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we improve the reliability of agent behaviors by closed-loop fine-tuning of behavior models with reinforcement learning. |
ZHENGHAO PENG et. al. | arxiv-cs.AI | 2024-09-26 |
| 93 | BoT-Drive: Hierarchical Behavior and Trajectory Planning for Autonomous Driving Using POMDPs Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper introduces BoT-Drive, a planning algorithm that addresses uncertainties at both behavior and trajectory levels within a Partially Observable Markov Decision Process (POMDP) framework. |
Xuanjin Jin; Chendong Zeng; Shengfa Zhu; Chunxiao Liu; Panpan Cai; | arxiv-cs.RO | 2024-09-26 |
| 94 | A Computer Vision Approach for Autonomous Cars to Drive Safe at Construction Zone Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper presents an innovative and highly accurate road obstacle detection model utilizing computer vision technology that can be activated in construction zones and functions under diverse drift conditions, ultimately contributing to build a safer road transportation system. |
Abu Shad Ahammed; Md Shahi Amran Hossain; Roman Obermaisser; | arxiv-cs.CV | 2024-09-24 |
| 95 | Analyzing Privacy Implications of Data Collection in Android Automotive OS Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper focuses on the privacy implications of AAOS, examining the exact nature and scope of data collection and the corresponding privacy policies from the original equipment manufacturers (OEMs). |
Bulut Gözübüyük; Brian Tang; Kang G. Shin; Mert D. Pesé; | arxiv-cs.CR | 2024-09-23 |
| 96 | Dynamic Game-Theoretical Decision-Making Framework for Vehicle-Pedestrian Interaction with Human Bounded Rationality Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: However, it assumes complete human rationality and unlimited reasoning abilities, which is unrealistic. To solve this limitation and improve model accuracy, this paper proposes a novel framework that integrates the partially observable markov decision process with behavioral game theory to dynamically model AV-pedestrian interactions at the unsignalized intersection. |
Meiting Dang; Dezong Zhao; Yafei Wang; Chongfeng Wei; | arxiv-cs.RO | 2024-09-23 |
| 97 | SPformer: A Transformer Based DRL Decision Making Method for Connected Automated Vehicles Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To this end, we propose a CAV decision-making architecture based on transformer and reinforcement learning algorithms. |
Ye Han; Lijun Zhang; Dejian Meng; Xingyu Hu; Yixia Lu; | arxiv-cs.AI | 2024-09-23 |
| 98 | Using High-Level Patterns to Estimate How Humans Predict A Robot Will Behave Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We hypothesize that our resulting high-level and course predictions of robot behavior will correspond to actual human predictions. We provide initial evidence in support of this hypothesis through a proof-of-concept user study. |
Sagar Parekh; Lauren Bramblett; Nicola Bezzo; Dylan P. Losey; | arxiv-cs.RO | 2024-09-20 |
| 99 | DRIVE: Dependable Robust Interpretable Visionary Ensemble Framework in Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: However, these models often sacrifice interpretability, posing significant challenges to trust, safety, and regulatory compliance. To address these issues, we introduce DRIVE — Dependable Robust Interpretable Visionary Ensemble Framework in Autonomous Driving, a comprehensive framework designed to improve the dependability and stability of explanations in end-to-end unsupervised autonomous driving models. |
SONGNING LAI et. al. | arxiv-cs.RO | 2024-09-16 |
| 100 | Digital Twin Test Method With LTE-V2X for Autonomous Vehicle Safety Test Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The development of test method is essential for assessing autonomous vehicle safety. How to ensure real vehicle dynamic performance and create more critical scenarios is the … |
Jianyu Duan; Zhen Wang; Xiaopu Jing; | IEEE Internet of Things Journal | 2024-09-15 |
| 101 | A Comprehensive Survey of PID and Pure Pursuit Control Algorithms for Autonomous Vehicle Navigation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: These algorithms have proved useful in solving the issues of lateral (steering) and longitudinal (speed and distance) control in autonomous vehicles. This survey aims to provide researchers, engineers, and industry professionals with an in depth understanding of these fundamental control algorithms, their current applications, and their potential to shape the future of autonomous driving technology. |
Harshit Jain; Priyal Babel; | arxiv-cs.RO | 2024-09-15 |
| 102 | Behavioral Cloning Models Reality Check for Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: While numerous vision-based autonomous vehicle systems have been trained and evaluated in simulated environments, there is a notable lack of real-world validation for these systems. This paper addresses this gap by presenting the real-world validation of state-of-the-art perception systems that utilize Behavior Cloning (BC) for lateral control, processing raw image data to predict steering commands. |
Mustafa Yildirim; Barkin Dagda; Vinal Asodia; Saber Fallah; | arxiv-cs.RO | 2024-09-11 |
| 103 | MAPS: Energy-Reliability Tradeoff Management in Autonomous Vehicles Through LLMs Penetrated Science Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper proposed MAPS using LLMs as map reader co-drivers to predict the vital parameters to set during the autonomous vehicle operation to balance the energy-reliability tradeoff. |
Mahdieh Aliazam; Ali Javadi; Amir Mahdi Hosseini Monazzah; Ahmad Akbari Azirani; | arxiv-cs.AR | 2024-09-10 |
| 104 | Cooperative Decision-Making for CAVs at Unsignalized Intersections: A MARL Approach with Attention and Hierarchical Game Priors Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: While reinforcement learning (RL) has been used to solve complex decision-making problems, existing RL methods still have limitations in dealing with cooperative decision-making of multiple connected autonomous vehicles (CAVs), ensuring safety during exploration, and simulating realistic human driver behaviors. In this paper, a novel and efficient algorithm, Multi-Agent Game-prior Attention Deep Deterministic Policy Gradient (MA-GA-DDPG), is proposed to address these limitations. |
Jiaqi Liu; Peng Hang; Xiaoxiang Na; Chao Huang; Jian Sun; | arxiv-cs.RO | 2024-09-09 |
| 105 | What Did My Car Say? Impact of Autonomous Vehicle Explanation Errors and Driving Context On Comfort, Reliance, Satisfaction, and Driving Confidence Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Explanations for autonomous vehicle (AV) decisions may build trust, however, explanations can contain errors. In a simulated driving study (n = 232), we tested how AV explanation … |
Robert Kaufman; Aaron Broukhim; David Kirsh; Nadir Weibel; | arxiv-cs.HC | 2024-09-09 |
| 106 | Distributed Learning in Intelligent Transportation Systems: A Survey Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The development of artificial intelligence (AI) and self-driving technology is expected to enhance intelligent transportation systems (ITSs) by improving road safety and mobility, … |
Qiong Li; Wanlei Zhou; James Xi Zheng; | Inf. | 2024-09-08 |
| 107 | Neural HD Map Generation from Multiple Vectorized Tiles Locally Produced By Autonomous Vehicles Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To address the issue, we present GNMap as an end-to-end generative neural network to automatically construct HD maps with multiple vectorized tiles which are locally produced by autonomous vehicles through several tours. |
Miao Fan; Yi Yao; Jianping Zhang; Xiangbo Song; Daihui Wu; | arxiv-cs.RO | 2024-09-05 |
| 108 | ERSS-RAMP: A Rule-Adherence Motion Planner Based on Extended Responsibility-Sensitive Safety for Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Besides, the integration of the RSS framework with motion planning is rarely discussed in current studies. Therefore, we proposed a rule-adherence motion planner (RAMP) based on the extended RSS (eRSS) regulation for non-connected and connected AVs in merging and emergency-avoiding scenarios. |
PENGFEI LIN et. al. | arxiv-cs.RO | 2024-09-04 |
| 109 | Developing, Analyzing, and Evaluating Self-Drive Algorithms Using Drive-by-Wire Electric Vehicles Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: The results show that the two most reliable approaches detect both lane lines and use unsupervised learning to separate them. These approaches proved to be robust in various driving scenarios, making them suitable candidates for integration into the V2X project. |
BEÑAT FROEMMING-ALDANONDO et. al. | arxiv-cs.RO | 2024-09-04 |
| 110 | Want A Ride? Attitudes Towards Autonomous Driving and Behavior in Autonomous Vehicles Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Research conducted previously has focused on either attitudes toward or behaviors associated with autonomous driving. In this paper, we bridge these two dimensions by exploring how attitudes towards autonomous driving influence behavior in an autonomous car. |
Enrico Del Re; Leonie Sauer; Marco Polli; Cristina Olaverri-Monreal; | arxiv-cs.RO | 2024-09-04 |
| 111 | Mutual Benefit: The Case for Sharing Autonomous Vehicle Data with The Public Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: The data generated from these tests represent an essential competitive element for the respective companies moving this technology forward. In this paper, we argue for the normative idea that a part of this data should more explicitly benefit the general public by sharing it through a trusted entity as a form of compensation and control for the communities that are being experimented upon. |
DAVID GOEDICKE et. al. | arxiv-cs.CY | 2024-09-02 |
| 112 | Integrating End-to-End and Modular Driving Approaches for Online Corner Case Detection in Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To leverage the advantages of both, we propose a method for online corner case detection that integrates an end-to-end approach into a modular system. |
Gemb Kaljavesi; Xiyan Su; Frank Diermeyer; | arxiv-cs.AI | 2024-09-02 |
| 113 | Situation-aware Autonomous Driving Decision Making with Cooperative Perception on Demand Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper investigates the impact of cooperative perception on autonomous driving decision making on urban roads. |
Wei Liu; | arxiv-cs.RO | 2024-09-02 |
| 114 | A Research Testbed for Intelligent and Cooperative Driving in Mixed Traffic Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Autonomous vehicles are gradually entering the transportation system. The traffic will become more heterogeneous since both autonomous and human-driven vehicles will share the … |
Jiaxing Lu; Sanzida Hossain; Wakun Lam; Weihua Sheng; He Bai; | IEEE Transactions on Intelligent Transportation Systems | 2024-09-01 |
| 115 | Vehicle-to-Everything (V2X) Communication: A Roadside Unit for Adaptive Intersection Control of Autonomous Electric Vehicles Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We implement a cost-effective solution to intelligent and connected intersection control to serve as a proof-of-concept model suitable as the basis for continued research and development. |
MICHAEL EVANS et. al. | arxiv-cs.RO | 2024-09-01 |
| 116 | Knowledge Distillation-Based Edge-Decision Hierarchies for Interactive Behavior-Aware Planning in Autonomous Driving System Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Interactive behavior-aware planning benefits from the hierarchical learning process when adapting to dense traffic. However, the difficulty in the Intelligent Transportation … |
Zhiming Hong; Qing Lin; Bo Hu; | IEEE Transactions on Intelligent Transportation Systems | 2024-09-01 |
| 117 | Multi-scale Temporal Fusion Transformer for Incomplete Vehicle Trajectory Prediction Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: However, existing methods neglect the potential missing values caused by object occlusion, perception failures, etc., which inevitably degrades the trajectory prediction performance in real traffic scenarios. To address this limitation, we propose a novel end-to-end framework for incomplete vehicle trajectory prediction, named Multi-scale Temporal Fusion Transformer (MTFT), which consists of the Multi-scale Attention Head (MAH) and the Continuity Representation-guided Multi-scale Fusion (CRMF) module. |
ZHANWEN LIU et. al. | arxiv-cs.CV | 2024-09-01 |
| 118 | Transient Fault Tolerant Semantic Segmentation for Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We address the latter by examining fault-tolerance in semantic segmentation models. |
LEONARDO IURADA et. al. | arxiv-cs.CV | 2024-08-29 |
| 119 | Passenger Hazard Perception Based on EEG Signals for Highly Automated Driving Vehicles Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This study explores neural mechanisms in passenger-vehicle interactions, leading to the development of a Passenger Cognitive Model (PCM) and the Passenger EEG Decoding Strategy (PEDS). |
ASHTON YU XUAN TAN et. al. | arxiv-cs.HC | 2024-08-29 |
| 120 | CooTest: An Automated Testing Approach for V2X Communication Systems Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we design and implement CooTest, the first automated testing tool of the V2X-oriented cooperative perception module. |
AN GUO et. al. | arxiv-cs.SE | 2024-08-29 |
| 121 | Fast and Modular Autonomy Software for Autonomous Racing Vehicles Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we present our modular and fast approach to agent detection, motion planning and controls to create an autonomy stack. |
ANDREW SABA et. al. | arxiv-cs.RO | 2024-08-27 |
| 122 | RoboSense: Large-scale Dataset and Benchmark for Multi-sensor Low-speed Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: To further enhance the intelligent ability of unmanned vehicles, in this paper, we construct a multimodal data collection platform based on 3 main types of sensors (Camera, LiDAR and Fisheye), which supports flexible sensor configurations to enable dynamic sight of view for ego vehicle, either global view or local view. |
Haisheng Su; Feixiang Song; Cong Ma; Wei Wu; Junchi Yan; | arxiv-cs.CV | 2024-08-27 |
| 123 | Data Privacy and Security in Autonomous Connected Vehicles in Smart City Environment Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: A self-driving vehicle can navigate autonomously in smart cities without the need for human intervention. The emergence of Autonomous Connected Vehicles (ACVs) poses a substantial … |
Tanweer Alam; | Big Data Cogn. Comput. | 2024-08-23 |
| 124 | A Safe Self-evolution Algorithm for Autonomous Driving Based on Data-Driven Risk Quantification Model Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This problem is especially prominent in dynamic traffic scenarios. Therefore, this paper proposes a safe self-evolution algorithm for autonomous driving based on data-driven risk quantification model. |
Shuo Yang; Shizhen Li; Yanjun Huang; Hong Chen; | arxiv-cs.AI | 2024-08-22 |
| 125 | A Safe and Efficient Self-evolving Algorithm for Decision-making and Control of Autonomous Driving Systems Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Autonomous vehicles with a self-evolving ability are expected to cope with unknown scenarios in the real-world environment. Take advantage of trial and error mechanism, … |
Shuo Yang; Liwen Wang; Yanjun Huang; Hong Chen; | arxiv-cs.RO | 2024-08-22 |
| 126 | A Safety-Oriented Self-Learning Algorithm for Autonomous Driving: Evolution Starting from A Basic Model Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper proposes a safety-oriented self-learning algorithm for autonomous driving, which focuses on how to achieve evolution from a basic model. |
Shuo Yang; Caojun Wang; Zhenyu Ma; Yanjun Huang; Hong Chen; | arxiv-cs.RO | 2024-08-22 |
| 127 | ITPNet: Towards Instantaneous Trajectory Prediction for Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To this end, we put forward a general and plug-and-play instantaneous trajectory prediction approach, called ITPNet. Specifically, we propose a backward forecasting mechanism to reversely predict the latent feature representations of unobserved historical trajectories of the agent based on its two observed locations and then leverage them as complementary information for future trajectory prediction. |
RONGQING LI et. al. | kdd | 2024-08-21 |
| 128 | Integrating Naturalistic Insights in Objective Multi-Vehicle Safety Framework Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper presents a framework designed for assessing traffic safety in multi-vehicle situations, facilitating the simultaneous utilization of diverse objective safety metrics. |
Enrico Del Re; Amirhesam Aghanouri; Cristina Olaverri-Monreal; | arxiv-cs.RO | 2024-08-19 |
| 129 | CoVLA: Comprehensive Vision-Language-Action Dataset for Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: A major research bottleneck is the lack of large-scale annotated datasets encompassing vision, language, and action. To address this issue, we propose CoVLA (Comprehensive Vision-Language-Action) Dataset, an extensive dataset comprising real-world driving videos spanning more than 80 hours. |
HIDEHISA ARAI et. al. | arxiv-cs.CV | 2024-08-19 |
| 130 | Automated Vehicle Driver Monitoring Dataset from Real-World Scenarios Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Hence, this paper presents a real-world driver activity dataset, openly accessible on IEEE Dataport, which encompasses various activities that occur in autonomous driving scenarios under various illumination and weather conditions. |
Mohamed Sabry; Walter Morales-Alvarez; Cristina Olaverri-Monreal; | arxiv-cs.RO | 2024-08-19 |
| 131 | Understanding Cyclists’ Perception of Driverless Vehicles Through Eye-tracking and Interviews Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: As automated vehicles (AVs) become increasingly popular, the question arises as to how cyclists will interact with such vehicles. This study investigated (1) whether cyclists spontaneously notice if a vehicle is driverless, (2) how well they perform a driver-detection task when explicitly instructed, and (3) how they carry out these tasks. |
SIRI HEGNA BERGE et. al. | arxiv-cs.RO | 2024-08-19 |
| 132 | V2X-VLM: End-to-End V2X Cooperative Autonomous Driving Through Large Vision-Language Models Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper introduces V2X-VLM, an innovative E2E vehicle-infrastructure cooperative autonomous driving (VICAD) framework with Vehicle-to-Everything (V2X) systems and large vision-language models (VLMs). |
JUNWEI YOU et. al. | arxiv-cs.RO | 2024-08-17 |
| 133 | Keep Calm and Relax — HMI for Autonomous Vehicles Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The growing popularity of self-driving, so-called autonomous vehicles has increased the need for human-machine interfaces~(HMI) and user interaction~(UI) to enhance passenger … |
Tima M. Yekta; Julius Schöning; | arxiv-cs.AI | 2024-08-16 |
| 134 | A Transparency Paradox? Investigating The Impact of Explanation Specificity and Autonomous Vehicle Perceptual Inaccuracies on Passengers Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we examined the effects of transparency mediated through varying levels of explanation specificity in AD. |
Daniel Omeiza; Raunak Bhattacharyya; Marina Jirotka; Nick Hawes; Lars Kunze; | arxiv-cs.HC | 2024-08-16 |
| 135 | A Conflicts-free, Speed-lossless KAN-based Reinforcement Learning Decision System for Interactive Driving in Roundabouts Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper introduces a learning-based algorithm tailored to foster safe and efficient driving behaviors across varying levels of traffic flows in roundabouts. |
ZHIHAO LIN et. al. | arxiv-cs.RO | 2024-08-15 |
| 136 | IIT Bombay Racing Driverless: Autonomous Driving Stack for Formula Student AI Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This work presents the design and development of IIT Bombay Racing’s Formula Student style autonomous racecar algorithm capable of running at the racing events of Formula Student-AI, held in the UK. |
YASH RAMPURIA et. al. | arxiv-cs.RO | 2024-08-12 |
| 137 | Field Testing and Detection of Camera Interference for Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This study explores the detection of camera interference attacks (CIA) within an automotive ethernet-driven environment using a novel GRU-based IDS. |
Ki Beom Park; Huy Kang Kim; | arxiv-cs.CR | 2024-08-08 |
| 138 | VLM-MPC: Vision Language Foundation Model (VLM)-Guided Model Predictive Controller (MPC) for Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Motivated by the emergent reasoning capabilities of Vision Language Models (VLMs) and their potential to improve the comprehensibility of autonomous driving systems, this paper introduces a closed-loop autonomous driving controller called VLM-MPC, which combines the Model Predictive Controller (MPC) with VLM to evaluate how model-based control could enhance VLM decision-making. |
Keke Long; Haotian Shi; Jiaxi Liu; Xiaopeng Li; | arxiv-cs.RO | 2024-08-08 |
| 139 | Improving The Intelligent Driver Model By Incorporating Vehicle Dynamics: Microscopic Calibration and Macroscopic Validation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Thus, we introduce a framework to calibrate CFMs using drone data captured at a signalized intersection in Stuttgart, Germany. |
Dominik Salles; Steve Oswald; Hans-Christian Reuss; | arxiv-cs.RO | 2024-08-07 |
| 140 | Design and Implementation of Smart Infrastructures and Connected Vehicles in A Mini-city Platform Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper presents a 1/10th scale mini-city platform used as a testing bed for evaluating autonomous and connected vehicles. |
DANIEL VARGAS et. al. | arxiv-cs.RO | 2024-08-07 |
| 141 | Communication-Aware Consistent Edge Selection for Mobile Users and Autonomous Vehicles Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: A joint allocation method of communication and computation of APs is proposed to minimize computational load, service latency, and interruptions with the overarching goal of maximizing QoS. |
Nazish Tahir; Ramviyas Parasuraman; Haijian Sun; | arxiv-cs.NI | 2024-08-06 |
| 142 | Research on Autonomous Driving Decision-making Strategies Based Deep Reinforcement Learning IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, an advanced deep reinforcement learning model is adopted, which can autonomously learn and optimize driving strategies in a complex and changeable traffic environment by modeling the driving decision-making process as a reinforcement learning problem. |
Zixiang Wang; Hao Yan; Changsong Wei; Junyu Wang; Minheng Xiao; | arxiv-cs.LG | 2024-08-06 |
| 143 | Effect of Fog Particle Size Distribution on 3D Object Detection Under Adverse Weather Conditions Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Subsequently, we modified the KITTI dataset based on the backscattering coefficient values and trained it on the PV-RCNN++ deep neural network model for Car, Cyclist, and Pedestrian cases under different detection difficulties. |
Ajinkya Shinde; Gaurav Sharma; Manisha Pattanaik; Sri Niwas Singh; | arxiv-cs.CV | 2024-08-02 |
| 144 | Leveraging GNSS and Onboard Visual Data from Consumer Vehicles for Robust Road Network Estimation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Despite recent advances, creating a road graph remains labor-intensive and has yet to achieve full automation. The goal of this paper is to generate such graphs automatically and accurately. |
Balázs Opra; Betty Le Dem; Jeffrey M. Walls; Dimitar Lukarski; Cyrill Stachniss; | arxiv-cs.CV | 2024-08-02 |
| 145 | Leveraging Driver Attention for An End-to-End Explainable Decision-Making From Frontal Images Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Explaining the decision made by end-to-end autonomous driving is a difficult task. These approaches take raw sensor data and compute the decision as a black box with large deep … |
Javier Araluce; L. Bergasa; Manuel Ocaña; Á. Llamazares; Elena López-Guillén; | IEEE Transactions on Intelligent Transportation Systems | 2024-08-01 |
| 146 | Longitudinal Control of Automated Vehicles: A Novel Approach By Integrating Deep Reinforcement Learning With Intelligent Driver Model Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Deep reinforcement learning (DRL) provides a promising approach for the implementation of autonomous driving. By utilizing a trained DRL model as the longitudinal controller, the … |
LINHAN BAI et. al. | IEEE Transactions on Vehicular Technology | 2024-08-01 |
| 147 | An Integrated Vision-Based Perception and Control for Lane Keeping of Autonomous Vehicles Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: This paper proposes a vision-based control method for autonomous vehicle lane keeping. This paper aims to provide a reliable alternative solution for localization and path … |
Tesfamichael Getahun; A. Karimoddini; | IEEE Transactions on Intelligent Transportation Systems | 2024-08-01 |
| 148 | SimpleLLM4AD: An End-to-End Vision-Language Model with Graph Visual Question Answering for Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Here, by utilizing vision-language model (VLM), we proposed an e2eAD method called SimpleLLM4AD. |
Peiru Zheng; Yun Zhao; Zhan Gong; Hong Zhu; Shaohua Wu; | arxiv-cs.CV | 2024-07-30 |
| 149 | Haptic Feedback of Front Car Motion Can Improve Driving Control Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This study investigates the role of haptic feedback in a car-following scenario, where information about the motion of the front vehicle is provided through a virtual elastic connection with it. |
Xiaoxiao Cheng; Xianzhe Geng; Yanpei Huang; Etienne Burdet; | arxiv-cs.RO | 2024-07-29 |
| 150 | SECRM-2D: RL-Based Efficient and Comfortable Route-Following Autonomous Driving with Analytic Safety Guarantees Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose SECRM-2D (the Safe, Efficient and Comfortable RL- based driving Model with Lane-Changing), an RL autonomous driving controller (both longitudinal and lateral) that balances optimization of efficiency and comfort and follows a fixed route, while being subject to hard analytic safety constraints. |
Tianyu Shi; Ilia Smirnov; Omar ElSamadisy; Baher Abdulhai; | arxiv-cs.RO | 2024-07-23 |
| 151 | BB-Align: A Lightweight Pose Recovery Framework for Vehicle-to-Vehicle Cooperative Perception Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Vehicle-to-Vehicle (V2V) cooperative perception has become increasingly popular in the field of autonomous driving, effectively overcoming the inherent limitations of … |
LIXING SONG et. al. | 2024 IEEE 44th International Conference on Distributed … | 2024-07-23 |
| 152 | WTS: A Pedestrian-Centric Traffic Video Dataset for Fine-grained Spatial-Temporal Understanding Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we address the challenge of fine-grained video event understanding in traffic scenarios, vital for autonomous driving and safety. |
QUAN KONG et. al. | arxiv-cs.CV | 2024-07-21 |
| 153 | $μ$Drive: User-Controlled Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Existing ADSs, however, lack mechanisms to systematically capture and integrate rider preferences into their planning modules. To bridge this gap, we propose $\mu$Drive, an event-based Domain-Specific Language (DSL) designed for specifying autonomous vehicle behaviour. |
KUN WANG et. al. | arxiv-cs.SE | 2024-07-18 |
| 154 | TRAVERSE: Traffic-Responsive Autonomous Vehicle Experience & Rare-event Simulation for Enhanced Safety Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This work addresses much-needed research by having participants drive a VR vehicle simulator going through simulated traffic with various types of accidental scenarios. |
SANDEEP THALAPANANE et. al. | arxiv-cs.RO | 2024-07-12 |
| 155 | Accurate Cooperative Localization Utilizing LiDAR-equipped Roadside Infrastructure for Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: However, these high-precision techniques often face reliability challenges in environments devoid of identifiable map features. To address this limitation, we propose a novel approach that utilizes road side units (RSU) with vehicle-to-infrastructure (V2I) communications to assist vehicle self-localization. |
Yuze Jiang; Ehsan Javanmardi; Manabu Tsukada; Hiroshi Esaki; | arxiv-cs.RO | 2024-07-11 |
| 156 | Towards Human-Like Driving: Active Inference in Autonomous Vehicle Control Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper presents a novel approach to Autonomous Vehicle (AV) control through the application of active inference, a theory derived from neuroscience that conceptualizes the brain as a predictive machine. |
Elahe Delavari; John Moore; Junho Hong; Jaerock Kwon; | arxiv-cs.RO | 2024-07-10 |
| 157 | NDST: Neural Driving Style Transfer for Human-Like Vision-Based Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Providing a personalized human-like AD experience, tailored to match users’ unique driving styles while adhering to safety prerequisites, presents a significant opportunity to boost the acceptance of AVs. This paper proposes a novel approach, Neural Driving Style Transfer (NDST), inspired by Neural Style Transfer (NST), to address this issue. |
Donghyun Kim; Aws Khalil; Haewoon Nam; Jaerock Kwon; | arxiv-cs.RO | 2024-07-10 |
| 158 | Invisible Optical Adversarial Stripes on Traffic Sign Against Autonomous Vehicles Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper presents an attack that uses light-emitting diodes and exploits the camera’s rolling shutter effect to create adversarial stripes in the captured images to mislead traffic sign recognition. |
DONGFANG GUO et. al. | arxiv-cs.CR | 2024-07-10 |
| 159 | Collision and Obstacle Avoidance for Industrial Autonomous Vehicles — Simulation and Experimentation Based on A Cooperative Approach Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this chapter, we will focus on a class of problems faced by IAVs related to collision and obstacle avoidance. |
Juliette Grosset; Alain-Jérôme Fougères; M Djoko-Kouam; C Couturier; Jean-Marie Bonnin; | arxiv-cs.RO | 2024-07-09 |
| 160 | Robust Meta-Learning of Vehicle Yaw Rate Dynamics Via Conditional Neural Processes Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In each case, the drawbacks can be associated to a certain degree to the physical modeling of the yaw rate dynamics. Therefore, this paper investigates the yaw rate prediction based on conditional neural processes (CNP), a data-driven meta-learning approach, to simultaneously achieve low errors, adequate complexity and robustness to varying parameters. |
Lars Ullrich; Andreas Völz; Knut Graichen; | arxiv-cs.RO | 2024-07-09 |
| 161 | VQA-Diff: Exploiting VQA and Diffusion for Zero-Shot Image-to-3D Vehicle Asset Generation in Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This leads to their poor zero-shot prediction capability to handle real-world observations with occlusion or tricky viewing angles. To solve this problem, in this work, we propose VQA-Diff, a novel framework that leverages in-the-wild vehicle images to create photorealistic 3D vehicle assets for autonomous driving. |
YIBO LIU et. al. | arxiv-cs.CV | 2024-07-08 |
| 162 | GenFollower: Enhancing Car-Following Prediction with Large Language Models Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: However, current approaches often suffer from limitations like high sensitivity to data quality and lack of interpretability. In this study, we propose GenFollower, a novel zero-shot prompting approach that leverages large language models (LLMs) to address these challenges. |
XIANDA CHEN et. al. | arxiv-cs.AI | 2024-07-08 |
| 163 | JaywalkerVR: A VR System for Collecting Safety-Critical Pedestrian-Vehicle Interactions Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: However, gathering data that include crucial but rare scenarios – such as pedestrians jaywalking into heavy traffic – can be costly and unsafe to collect. We propose a virtual reality human-in-the-loop simulator, JaywalkerVR, to obtain vehicle-pedestrian interaction data to address these challenges. |
Kenta Mukoya; Erica Weng; Rohan Choudhury; Kris Kitani; | arxiv-cs.RO | 2024-07-05 |
| 164 | Enhancing Autonomous Driving Navigation Using Soft Actor-Critic Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Autonomous vehicles have gained extensive attention in recent years, both in academia and industry. For these self-driving vehicles, decision-making in urban environments poses … |
Badr Ben Elallid; Nabil Benamar; Miloud Bagaa; Yassine Hadjadj Aoul; | Future Internet | 2024-07-04 |
| 165 | Behavioural Gap Assessment of Human-vehicle Interaction in Real and Virtual Reality-based Scenarios in Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we present a first and innovative approach to evaluating what we term the behavioural gap, a concept that captures the disparity in a participant’s conduct when engaging in a VR experiment compared to an equivalent real-world situation. |
Sergio. Martín Serrano; Rubén Izquierdo; Iván García Daza; Miguel Ángel Sotelo; D. Fernández Llorca; | arxiv-cs.HC | 2024-07-04 |
| 166 | Research on Reliable and Safe Occupancy Grid Prediction in Underground Parking Lots Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This study tackles indoor autonomous driving, particularly in overlooked spaces like underground parking lots. |
JiaQi Luo; | arxiv-cs.AI | 2024-07-02 |
| 167 | Adaptive Autopilot: Constrained DRL for Diverse Driving Behaviors Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In pursuit of autonomous vehicles, achieving human-like driving behavior is vital. This study introduces adaptive autopilot (AA), a unique framework utilizing constrained-deep … |
D. SELVARAJ et. al. | ArXiv | 2024-07-02 |
| 168 | Ego Vehicle Trajectory Prediction Based on Time-Feature Encoding and Physics-Intention Decoding Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In the stage of man-machine cooperative driving, accurately predicting the trajectory of the ego vehicle can help intelligent system understand future risk and adjust the control … |
Ziyu Zhang; Chunyan Wang; Wanzhong Zhao; Mingchun Cao; Jinqiang Liu; | IEEE Transactions on Intelligent Transportation Systems | 2024-07-01 |
| 169 | Autonomous Driving Decision Algorithm for Complex Multi-Vehicle Interactions: An Efficient Approach Based on Global Sorting and Local Gaming Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: For autonomous driving, it is important to develop safe and efficient decision algorithms to handle multi-vehicle interactions. Game theory is suitable to manage the interactive … |
Daofei Li; Jiajie Zhang; Guanming Liu; | IEEE Transactions on Intelligent Transportation Systems | 2024-07-01 |
| 170 | An Edge Computing-Based Autonomous Vehicle Group Cooperation Model in A Highway Scene Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Most existing research on autonomous vehicle groups mainly focuses on semi-centralized network control, without considering computational difficulties caused by the increasing … |
Qichao Mao; Jiujun Cheng; MengChu Zhou; Shangce Gao; Shoufei Han; | IEEE Transactions on Vehicular Technology | 2024-07-01 |
| 171 | An Integrated Framework of Lateral and Longitudinal Behavior Decision-Making for Autonomous Driving Using Reinforcement Learning Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Lateral lane-changing and longitudinal car-following behavior decision-making is crucial for the implementation of autonomous driving (AD) in complex and dynamic traffic … |
HAOYUAN NI et. al. | IEEE Transactions on Vehicular Technology | 2024-07-01 |
| 172 | Evolutionary Decision-Making and Planning for Autonomous Driving: A Hybrid Augmented Intelligence Framework Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Recently, thanks to the introduction of human feedback, Chat Generative Pre-trained Transformer (ChatGPT) has achieved remarkable success in the language processing field. … |
KANG YUAN et. al. | IEEE Transactions on Intelligent Transportation Systems | 2024-07-01 |
| 173 | An AR-Based Meta Vehicle Road Cooperation Testing Systems: Framework, Components Modeling, and An Implementation Example Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In this study, we introduce an AR-based meta-vehicle road collaboration testing system (AR-MVRTs), a significant advancement in autonomous driving testing. This system utilizes … |
XUESONG BAI et. al. | IEEE Internet of Things Journal | 2024-07-01 |
| 174 | Acceleration Method for Generating Perception Failure Scenarios Based on Editing Markov Process Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: The unique structural constraints, insufficient lighting, and high-density obstacles in underground parking garages impose greater demands on the perception systems, which are critical to autonomous driving technology. This study proposes an accelerated generation method for perception failure scenarios tailored to the underground parking garage environment, aimed at testing and improving the safety performance of autonomous vehicle (AV) perception algorithms in such settings. |
Canjie Cai; | arxiv-cs.AI | 2024-07-01 |
| 175 | Age of Processing-Aware Offloading Decision for Autonomous Vehicles in 5G Open RAN Environment Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In state-of-the-art autonomous vehicles, data from the vehicle’s sensors is often processed using fast and expensive onboard hardware. Such an onboard processing scheme quickly … |
Anselme Ndikumana; K. Nguyen; Mohamed Cheriet; | IEEE Transactions on Mobile Computing | 2024-07-01 |
| 176 | Limited Information Aggregation for Collaborative Driving in Multi-Agent Autonomous Vehicles Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Multi-agent reinforcement learning (MARL) methods have emerged as a promising solution for multi-agent collaborative driving in the intersection and roundabout scenarios. However, … |
QINGYI LIANG et. al. | IEEE Robotics and Automation Letters | 2024-07-01 |
| 177 | Interaction of Autonomous and Manually Controlled Vehicles Multiscenario Vehicle Interaction Dataset Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The acquisition and analysis of high-quality sensor data constitute an essential requirement in shaping the development of fully autonomous driving systems. This process is … |
N. CERTAD et. al. | IEEE Intelligent Transportation Systems Magazine | 2024-07-01 |
| 178 | Autonomous Cornering Control Based on Sense of Circular Vision Model Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Recently, Research and Development of technology are actively conducted in the automotive industry. When automated driving becomes widespread, it is important to have a vehicle … |
REN DEGOSHI et. al. | 2024 IEEE International Conference on Fuzzy Systems … | 2024-06-30 |
| 179 | Enhanced Vehicle Detection Through Multi-Sensor Fusion Utilizing YOLO-NAS and Faster R-CNN Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Multi-Sensor Fusion (MSF) is pivotal in advancing autonomous driving technologies. MSF has numerous challenges, such as data synchronization, noise reduction, and managing the … |
Adi El‐Dalahmeh; Moawiah El‐Dalahmeh; Jie Li; | 2024 International Joint Conference on Neural Networks … | 2024-06-30 |
| 180 | Reconfigurable Intelligent Computational Surfaces for MEC-Assisted Autonomous Driving Networks: Design Optimization and Analysis Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Considering that the latter links can be reused by vehicle-to-vehicle (V2V) communications to improve spectrum utilization, the receiver of the V2I link may suffer from severe interference that can cause outages during the task offloading. To tackle this issue, we propose the deployment of a reconfigurable intelligent computational surface (RICS) whose computationally capable metamaterials are leveraged to jointly enable V2I reflective links as well as to implement interference cancellation at the V2V links. |
XUEYAO ZHANG et. al. | arxiv-cs.DC | 2024-06-30 |
| 181 | A Rule-Based Behaviour Planner for Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose an algorithm to create and maintain a rule-based behaviour planner, using a two-layer rule-based theory. |
Bouchard Frederic; Sedwards Sean; Czarnecki Krzysztof; | arxiv-cs.AI | 2024-06-29 |
| 182 | Lessons in Cooperation: A Qualitative Analysis of Driver Sentiments Towards Real-Time Advisory Systems from A Driving Simulator User Study Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Real-time Advisory (RTA) systems, such as navigational and eco-driving assistants, are becoming increasingly ubiquitous in vehicles due to their benefits for users and society. … |
Aamir Hasan; Neeloy Chakraborty; Haonan Chen; Cathy Wu; K. Driggs-Campbell; | ArXiv | 2024-06-29 |
| 183 | Cooperative Advisory Residual Policies for Congestion Mitigation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Our policies advise drivers to behave in ways that mitigate traffic congestion while accounting for diverse driver behaviors, particularly drivers’ reactions to instructions, to provide an improved user experience. To realize such policies, we introduce an improved reward function that explicitly addresses congestion mitigation and driver attitudes to advice. |
AAMIR HASAN et. al. | arxiv-cs.LG | 2024-06-29 |
| 184 | Modeling Autonomous Vehicle Responses to Novel Observations Using Hierarchical Cognitive Representations Inspired Active Inference Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Equipping autonomous agents for dynamic interaction and navigation is a significant challenge in intelligent transportation systems. This study aims to address this by … |
SHEIDA NOZARI et. al. | Comput. | 2024-06-28 |
| 185 | RETRACTED: Information System Model and Key Technologies of High-Definition Maps in Autonomous Driving Scenarios Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Background: High-definition maps can provide necessary prior data for autonomous driving, as well as the corresponding beyond-line-of-sight perception, verification and … |
Zhiqi Qian; Zhirui Ye; Xiaomeng Shi; | Sensors (Basel, Switzerland) | 2024-06-25 |
| 186 | GPT-4V Explorations: Mining Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper explores the application of the GPT-4V(ision) large visual language model to autonomous driving in mining environments, where traditional systems often falter in understanding intentions and making accurate decisions during emergencies. |
Zixuan Li; | arxiv-cs.CV | 2024-06-24 |
| 187 | MARVIN: Mobile Autonomous Robot Vehicle for Investigation & Navigation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Self-driving vehicles are a rising field for investigation; both in the commercial and academic world, but most framework platforms currently are not designed for the Latin … |
LUIS ANDRADE et. al. | 2024 21st International Conference on Ubiquitous Robots (UR) | 2024-06-24 |
| 188 | MetaFollower: Adaptable Personalized Autonomous Car Following Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Car-following (CF) modeling, a fundamental component in microscopic traffic simulation, has attracted increasing interest of researchers in the past decades. In this study, we … |
XIANDA CHEN et. al. | ArXiv | 2024-06-23 |
| 189 | EditFollower: Tunable Car Following Models for Customizable Adaptive Cruise Control Systems Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In the realm of driving technologies, fully autonomous vehicles have not been widely adopted yet, making advanced driver assistance systems (ADAS) crucial for enhancing driving … |
XIANDA CHEN et. al. | ArXiv | 2024-06-23 |
| 190 | Multi-Task Lane-Free Driving Strategy for Connected and Automated Vehicles: A Multi-Agent Deep Reinforcement Learning Approach Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose a novel driving strategy for Connected and Automated Vehicles (CAVs) based on a competitive Multi-Agent Deep Deterministic Policy Gradient approach. |
Mehran Berahman; Majid Rostami-Shahrbabaki; Klaus Bogenberger; | arxiv-cs.RO | 2024-06-20 |
| 191 | LiDAR Point Cloud Augmentation for Adverse Conditions Using Conditional Generative Model Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The perception systems of autonomous vehicles face significant challenges under adverse conditions, with issues such as obscured objects and false detections due to environmental … |
YUXIAO ZHANG et. al. | Remote. Sens. | 2024-06-20 |
| 192 | GTP-UDrive: Unified Game-Theoretic Trajectory Planner and Decision-Maker for Autonomous Driving in Mixed Traffic Environments Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Understanding the interdependence between autonomous and human-operated vehicles remains an ongoing challenge, with significant implications for the safety and feasibility of autonomous driving.This interdependence arises from inherent interactions among road users.Thus, it is crucial for Autonomous Vehicles (AVs) to understand and analyze the intentions of human-driven vehicles, and to display behavior comprehensible to other traffic participants.To this end, this paper presents GTP-UDRIVE, a unified game-theoretic trajectory planner and decision-maker considering a mixed-traffic environment. |
Nouhed Naidja; Guillaume Sandou; Stéphane Font; Marc Revilloud; | arxiv-cs.RO | 2024-06-20 |
| 193 | Winning Through Simplicity: Autonomous Car Design for Formula Student Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper presents the design of an autonomous race car that is self-designed, self-developed, and self-built by the Elefant Racing team at the University of Bayreuth. |
TOBIAS FRIEDRICH et. al. | arxiv-cs.RO | 2024-06-19 |
| 194 | A Super-human Vision-based Reinforcement Learning Agent for Autonomous Racing in Gran Turismo Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper introduces, to the best of our knowledge, the first super-human car racing agent whose sensor input is purely local to the car, namely pixels from an ego-centric camera view and quantities that can be sensed from on-board the car, such as the car’s velocity. |
MIGUEL VASCO et. al. | arxiv-cs.LG | 2024-06-18 |
| 195 | UAV-based Intelligent Information Systems on Winter Road Safety for Autonomous Vehicles Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this research, a method for improving driving challenges on roads in winter conditions, with a model that segments and estimates the width of the road from the perspectives of Uncrewed aerial vehicles and autonomous vehicles. |
Siva Ariram; Veikko Pekkala; Timo Mäenpää; Antti Tikänmaki; Juha Röning; | arxiv-cs.RO | 2024-06-18 |
| 196 | Onward and Autonomously: Expanding The Horizon of Image Segmentation for Self-Driving Cars Through Machine Learning Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Autonomous navigation is the leading technology in current era, in this intelligent traffic light, sign detection, ADAS and obstacle detections were playing major role. Image … |
Raviteja Tirumalapudi; Nanda Kumar M; Sirisha J; | Scalable Comput. Pract. Exp. | 2024-06-16 |
| 197 | Infrared Adversarial Car Stickers Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work we propose a physical attack method against infrared detectors based on 3D modeling which is applied to a real car. |
Xiaopei Zhu; Yuqiu Liu; Zhanhao Hu; Jianmin Li; Xiaolin Hu; | cvpr | 2024-06-13 |
| 198 | PARA-Drive: Parallelized Architecture for Real-time Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: As of yet however there has been no systematic analysis of the necessity of these modules or the impact of their connectivity placement and internal representations on overall driving performance. Addressing this gap our work conducts a comprehensive exploration of the design space of end-to-end modular AV stacks. |
Xinshuo Weng; Boris Ivanovic; Yan Wang; Yue Wang; Marco Pavone; | cvpr | 2024-06-13 |
| 199 | Multiagent Multitraversal Multimodal Self-Driving: Open MARS Dataset Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Such information could lead to transformative enhancements in autonomous vehicles’ perception, prediction, and planning capabilities. To bridge this gap, in collaboration with the self-driving company May Mobility, we present the MARS dataset which unifies scenarios that enable MultiAgent, multitraveRSal, and multimodal autonomous vehicle research. |
YIMING LI et. al. | arxiv-cs.CV | 2024-06-13 |
| 200 | HoloVIC: Large-scale Dataset and Benchmark for Multi-Sensor Holographic Intersection and Vehicle-Infrastructure Cooperative Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To further enhance the accuracy of roadside perception and provide better information to the vehicle side in this paper we constructed holographic intersections with various layouts to build a large-scale multi-sensor holographic vehicle-infrastructure cooperation dataset called HoloVIC. |
CONG MA et. al. | cvpr | 2024-06-13 |
| 201 | Physical 3D Adversarial Attacks Against Monocular Depth Estimation in Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Previous physical attacks against MDE models rely on 2D adversarial patches so they only affect a small localized region in the MDE map but fail under various viewpoints. To address these limitations we propose 3D Depth Fool (3D^2Fool) the first 3D texture-based adversarial attack against MDE models. |
JUNHAO ZHENG et. al. | cvpr | 2024-06-13 |
| 202 | LaMPilot: An Open Benchmark Dataset for Autonomous Driving with Language Model Programs IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Large Language Models (LLMs) have demonstrated impressive reasoning capabilities showing potential to bridge this gap. In this paper we present LaMPilot a novel framework that integrates LLMs into AD systems enabling them to follow user instructions by generating code that leverages established functional primitives. |
YUNSHENG MA et. al. | cvpr | 2024-06-13 |
| 203 | Driving Everywhere with Large Language Model Policy Adaptation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper we present LLaDA a simple yet powerful tool that enables human drivers and autonomous vehicles alike to drive everywhere by adapting their tasks and motion plans to traffic rules in new locations. |
BOYI LI et. al. | cvpr | 2024-06-13 |
| 204 | MSU-4S – The Michigan State University Four Seasons Dataset Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper we present the Michigan State University Four Seasons (MSU-4S) Dataset which contains real-world collections of autonomous vehicle data from varied types of driving scenarios. |
DANIEL KENT et. al. | cvpr | 2024-06-13 |
| 205 | UruBots Autonomous Car Team Two: Team Description Paper for FIRA 2024 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper proposes a mini autonomous car to be used by the team UruBots for the 2024 FIRA Autonomous Cars Race Challenge. |
WILLIAM MORAES et. al. | arxiv-cs.RO | 2024-06-12 |
| 206 | UruBots Autonomous Cars Team One Description Paper for FIRA 2024 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This document presents the design of an autonomous car developed by the UruBots team for the 2024 FIRA Autonomous Cars Race Challenge. |
PABLO MORAES et. al. | arxiv-cs.RO | 2024-06-12 |
| 207 | Utilizing Navigation Paths to Generate Target Points for Enhanced End-to-End Autonomous Driving Planning Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper introduces NTT (Navigation to Target for Trajectory planning), a method within an end-to-end framework for autonomous driving. |
Yuanhua Shen; Jun Li; | arxiv-cs.RO | 2024-06-12 |
| 208 | ControlLoc: Physical-World Hijacking Attack on Visual Perception in Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we introduce a novel physical-world adversarial patch attack, ControlLoc, designed to exploit hijacking vulnerabilities in entire AD visual perception. |
CHEN MA et. al. | arxiv-cs.CV | 2024-06-09 |
| 209 | A Superalignment Framework in Autonomous Driving with Large Language Models Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Despite its importance, the security aspect of LLMs in autonomous driving remains underexplored. Addressing this gap, our research introduces a novel security framework for autonomous vehicles, utilizing a multi-agent LLM approach. |
Xiangrui Kong; Thomas Braunl; Marco Fahmi; Yue Wang; | arxiv-cs.RO | 2024-06-09 |
| 210 | Toward Autonomous Driving By Musculoskeletal Humanoids: A Study of Developed Hardware and Learning-Based Software Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper summarizes an autonomous driving project by musculoskeletal humanoids. |
KENTO KAWAHARAZUKA et. al. | arxiv-cs.RO | 2024-06-08 |
| 211 | Optimizing Autonomous Driving for Safety: A Human-Centric Approach with LLM-Enhanced RLHF Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this research, we innovatively combine RLHF and LLMs to enhance autonomous driving safety. |
Yuan Sun; Navid Salami Pargoo; Peter J. Jin; Jorge Ortiz; | arxiv-cs.AI | 2024-06-06 |
| 212 | Correlation of Software-in-the-Loop Simulation with Physical Testing for Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper presents a case study on the validation of an in-house developed SIL simulation toolchain. |
Zhennan Fei; Mikael Andersson; Andreas Tingberg; | arxiv-cs.SE | 2024-06-05 |
| 213 | Real-time Motion Planning for Autonomous Vehicles in Dynamic Environments Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: However, one of the critical challenges in autonomous vehicle operation is trajectory planning, especially in dynamic environments with moving obstacles. This research aims to tackle this challenge by proposing a robust algorithm tailored for autonomous cars operating in dynamic environments with moving obstacles. |
MOHAMMAD DEHGHANI TEZERJANI et. al. | arxiv-cs.RO | 2024-06-05 |
| 214 | Exploring Real World Map Change Generalization of Prior-Informed HD Map Prediction Models Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Recent work on these models proposes training robust online mapping systems using low quality map priors with synthetic perturbations in an attempt to simulate out-of-date HD map priors. In this paper, we investigate how models trained on these synthetically perturbed map priors generalize to performance on deployment-scale, real world map changes. |
SAMUEL M. BATEMAN et. al. | arxiv-cs.RO | 2024-06-04 |
| 215 | Predictive Braking on A Nonplanar Road Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present an approach for predictive braking of a four-wheeled vehicle on a nonplanar road. |
Thomas Fork; Francesco Camozzi; Xiao-Yu Fu; Francesco Borrelli; | arxiv-cs.RO | 2024-06-03 |
| 216 | A Survey of Deep Learning Based Radar and Vision Fusion for 3D Object Detection in Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper focuses on a comprehensive survey of radar-vision (RV) fusion based on deep learning methods for 3D object detection in autonomous driving. |
Di Wu; Feng Yang; Benlian Xu; Pan Liao; Bo Liu; | arxiv-cs.CV | 2024-06-02 |
| 217 | Homotopic Optimization for Autonomous Vehicle Maneuvering Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Optimization of vehicle maneuvers using dynamic models in constrained spaces is challenging. Homotopic optimization, which has shown success for vehicle maneuvers with kinematic … |
Jian Zhou; Arvind Balachandran; Björn Olofsson; Lars Nielsen; Erik Frisk; | 2024 IEEE Intelligent Vehicles Symposium (IV) | 2024-06-02 |
| 218 | A LiDAR-based Approach to Autonomous Racing with Model-free Reinforcement Learning Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: This paper explores the use of reinforcement learning (RL) in the context of autonomous vehicle racing, specifically focusing on the F1TENTH simulation platform. While commercial … |
Máté Hell; Gergely Hajgató; Ármin Bogár-Németh; Gergely Bári; | 2024 IEEE Intelligent Vehicles Symposium (IV) | 2024-06-02 |
| 219 | Drifting with Unknown Tires: Learning Vehicle Models Online with Neural Networks and Model Predictive Control Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Autonomous vehicle controllers capable of drifting can improve safety in dynamic emergency situations. However, drifting involves operating at high sideslip angles, which is a … |
Nan Ding; Michael Thompson; James Dallas; Jonathan Y.M. Goh; John Subosits; | 2024 IEEE Intelligent Vehicles Symposium (IV) | 2024-06-02 |
| 220 | ICOP: Image-based Cooperative Perception for End-to-End Autonomous Driving Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: With cutting-edge sensors and learning algorithms developed for vehicular perception, breakthrough advancements have been made in the perception-based end-to-end autonomous … |
L. Li; Yujie Cheng; Chen Sun; Wenqi Zhang; | 2024 IEEE Intelligent Vehicles Symposium (IV) | 2024-06-02 |
| 221 | Incremental Learning-Based Real-Time Trajectory Prediction for Autonomous Driving Via Sparse Gaussian Process Regression Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In the context of spatial-temporal autonomous driving, the accurate and real-time trajectory prediction of the surrounding vehicle (SV) is crucial. This paper aims to design an … |
Haichao Liu; Kai Chen; Jun Ma; | 2024 IEEE Intelligent Vehicles Symposium (IV) | 2024-06-02 |
| 222 | Point Cloud Automatic Annotation Framework for Autonomous Driving Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In autonomous driving systems, infrastructure LiDAR technology provides advanced point cloud information of the road, allowing for preemptive analysis, which increases … |
Chaoran Zhao; Bo Peng; Takuya Azumi; | 2024 IEEE Intelligent Vehicles Symposium (IV) | 2024-06-02 |
| 223 | Simplifying Sim-to-Real Transfer in Autonomous Driving: Coupling Autoware with The CommonRoad Motion Planning Framework Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Validating motion planning algorithms for autonomous vehicles on a real system is essential to improve their safety in the real world. Open-source initiatives, such as Autoware, … |
Gerald W¨ursching; Tobias Mascetta; Yuanfei Lin; Matthias Althoff; | 2024 IEEE Intelligent Vehicles Symposium (IV) | 2024-06-02 |
| 224 | Driving The Future: Addressing Generational Trust and Ownership Barriers in The Adoption of Connected and Autonomous Vehicles Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The advent of Connected and Autonomous Vehicles (CAVs) promises a transformative shift in transport, ushering in an era of shared mobility and interconnectedness. However, recent … |
Clare Mutzenich; Fergus McVey; Ceiré Martin; Claire Harding; | 2024 IEEE Intelligent Vehicles Symposium (IV) | 2024-06-02 |
| 225 | V2V Based Visual Cooperative Perception for Connected Autonomous Vehicles: Far-Sight and See-Through Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Perception serves as the vital cornerstone of autonomous driving system, influencing the decision-making and control performance of vehicles. The rich semantic color information … |
Yuanyuan Zha; ShangGuan Wei; Linguo Chai; | 2024 IEEE Intelligent Vehicles Symposium (IV) | 2024-06-02 |
| 226 | Audiovisual Affect Recognition for Autonomous Vehicles: Applications and Future Agendas Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Emotion and a broader range of affective and cognitive states play an important role on the road. While this has been predominantly investigated in terms of driver safety, the … |
Vincent Karas; Dagmar M. Schuller; Björn W. Schuller; | IEEE Transactions on Intelligent Transportation Systems | 2024-06-01 |
| 227 | Angle Tracking and Fault-Tolerant Control of Steer-by-Wire System With Dual Three-Phase Motor for Autonomous Vehicle Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In order to facilitate the application of steer-by-wire system in L3 and higher-level autonomous driving vehicle and overcome the shortcomings of the dual motor steer-by-wire … |
Guobiao Shi; Cong Guo; Shuai Wang; Tingyang Liu; | IEEE Transactions on Intelligent Transportation Systems | 2024-06-01 |
| 228 | Driving Behavior Prediction Based on Combined Neural Network Model Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Accurate behavior prediction of surrounding vehicles can greatly improve the operating safety of autonomous vehicles. However, in real traffic scence, the complexity and … |
Runmei Li; Xiaoting Shu; Chen Li; | IEEE Transactions on Computational Social Systems | 2024-06-01 |
| 229 | A Novel Reinforcement Learning Method for Autonomous Driving With Intermittent Vehicle-to-Everything (V2X) Communications Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Most autonomous driving studies incorporating vehicle-to-everything (V2X) communications assume the existence of continuous V2X communications, and ignore the possibility that V2X … |
Longquan Chen; Ying He; F. Yu; Weike Pan; Zhong Ming; | IEEE Transactions on Vehicular Technology | 2024-06-01 |
| 230 | Decision-Making for Autonomous Vehicles in Random Task Scenarios at Unsignalized Intersection Using Deep Reinforcement Learning Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: This study constructs a decision-making control framework for autonomous ego vehicles (AEVs) based on Soft Actor-Critic (SAC) in a random driving task scenario at an unsignalized … |
WENXUAN XIAO et. al. | IEEE Transactions on Vehicular Technology | 2024-06-01 |
| 231 | An Efficient and Accurate A-Star Algorithm for Autonomous Vehicle Path Planning Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Efficient and accurate path planning algorithm of unmanned vehicles for unstructured road is of great significant for field disaster relief. An improved A–star algorithm for … |
Zhi Lin; Kang Wu; Rulin Shen; Xin Yu; Shiquan Huang; | IEEE Transactions on Vehicular Technology | 2024-06-01 |
| 232 | Architectural Framework to Enhance Image-Based Vehicle Positioning for Advanced Functionalities Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The growing number of vehicles on the roads has resulted in several challenges, including increased accident rates, fuel consumption, pollution, travel time, and driving stress. … |
Iosif-Alin Beti; P. Herghelegiu; C. Caruntu; | Inf. | 2024-05-31 |
| 233 | Navigating Autonomous Vehicle on Unmarked Roads with Diffusion-Based Motion Prediction and Active Inference Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper presents a novel approach to improving autonomous vehicle control in environments lacking clear road markings by integrating a diffusion-based motion predictor within an Active Inference Framework (AIF). |
Yufei Huang; Yulin Li; Andrea Matta; Mohsen Jafari; | arxiv-cs.RO | 2024-05-31 |
| 234 | A New Platooning Model for Connected and Autonomous Vehicles to Improve String Stability Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: This paper presents a novel approach to coordinated vehicle platooning, where the platoon followers communicate solely with the platoon leader. A dynamic model is proposed to … |
Shouwei Hui; Michael Zhang; | ArXiv | 2024-05-29 |
| 235 | OpenConvoy: Universal Platform for Real-World Testing of Cooperative Driving Systems Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: However, the responsible development and implementation of these algorithms poses substantial challenges due to the need for extensive real-world testing. We address this issue and introduce OpenConvoy, an open and extensible framework designed for the implementation and assessment of cooperative driving policies on physical connected and autonomous vehicles (CAVs). |
Owen Burns; Hossein Maghsoumi; Yaser Fallah; Israel Charles; | arxiv-cs.RO | 2024-05-28 |
| 236 | Is A 3D-Tokenized LLM The Key to Reliable Autonomous Driving? Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In response, we introduce DETR-style 3D perceptrons as 3D tokenizers, which connect LLM with a one-layer linear projector. |
YIFAN BAI et. al. | arxiv-cs.CV | 2024-05-28 |
| 237 | Rigorous Simulation-based Testing for Autonomous Driving Systems — Targeting The Achilles’ Heel of Four Open Autopilots Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We propose a rigorous test method based on breaking down scenarios into simple ones, taking into account the fact that autopilots make decisions according to traffic rules whose application depends on local knowledge and context. |
Changwen Li; Joseph Sifakis; Rongjie Yan; Jian Zhang; | arxiv-cs.SE | 2024-05-27 |
| 238 | Rigorous Simulation-based Testing for Autonomous Driving Systems – Targeting The Achilles’ Heel of Four Open Autopilots Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Simulation-based testing remains the main approach for validating Autonomous Driving Systems. We propose a rigorous test method based on breaking down scenarios into simple ones, … |
Changwen Li; J. Sifakis; Rongjie Yan; Jian Zhang; | ArXiv | 2024-05-27 |
| 239 | A Two-Level Stochastic Model for The Lateral Movement of Vehicles Within Their Lane Under Homogeneous Traffic Conditions Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper presents a two-level stochastic approach to model the lateral movement of vehicles within their lane during road-following maneuvers under homogeneous traffic conditions. |
Nicole Neis; Juergen Beyerer; | arxiv-cs.RO | 2024-05-27 |
| 240 | Lane Detection Using Graph Search and Geometric Constraints for Formula Student Driverless Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Previous methods are inefficient and unable to find long-horizon solutions. We propose a deterministic algorithm called CLC that uses backtracking graph search with a learned likelihood function to overcome these limitations. |
Ivo Ivanov; Carsten Markgraf; | arxiv-cs.RO | 2024-05-25 |
| 241 | Driving Behavior Extraction Based on Eyes Movement Patterns Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Interest in autonomous driving has increased in the last decade. This generates a growing demand in developing algorithms suitable for such vehicles. In this context, modeling and … |
Alexandru M. Pescaru; M. Micea; | 2024 IEEE 18th International Symposium on Applied … | 2024-05-23 |
| 242 | HighwayLLM: Decision-Making and Navigation in Highway Driving with RL-Informed Language Model Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This study presents a novel approach, HighwayLLM, which harnesses the reasoning capabilities of large language models (LLMs) to predict the future waypoints for ego-vehicle’s navigation. |
Mustafa Yildirim; Barkin Dagda; Saber Fallah; | arxiv-cs.RO | 2024-05-22 |
| 243 | Autonomous Algorithm for Training Autonomous Vehicles with Minimal Human Intervention Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we introduce a novel autonomous algorithm that enables off-the-shelf RL algorithms to train autonomous vehicles with minimal human intervention. |
Sang-Hyun Lee; Daehyeok Kwon; Seung-Woo Seo; | arxiv-cs.RO | 2024-05-22 |
| 244 | Toward B5G/6G Connected Autonomous Vehicles: O-RAN-Driven Millimeter-Wave Beam Management and Handover Management Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Connected autonomous vehicles (CAVs) are crucial to a future society that embraces advanced technologies. For these vehicles to effectively share information with nearby vehicles … |
KENGO SUZUKI et. al. | IEEE INFOCOM 2024 – IEEE Conference on Computer … | 2024-05-20 |
| 245 | Cooperative Visual-LiDAR Extrinsic Calibration Technology for Intersection Vehicle-Infrastructure: A Review Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Concluding with a summary, we present our future-oriented ideas and hypotheses. |
XINYU ZHANG et. al. | arxiv-cs.CV | 2024-05-16 |
| 246 | CarDreamer: Open-Source Learning Platform for World Model Based Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Nevertheless, to the best of our knowledge, there does not exist an accessible platform for training and testing such algorithms in sophisticated driving environments. To fill this void, we introduce CarDreamer, the first open-source learning platform designed specifically for developing WM based autonomous driving algorithms. |
DECHEN GAO et. al. | arxiv-cs.RO | 2024-05-15 |
| 247 | Work-in-Progress: Crash Course: Can (Under Attack) Autonomous Driving Beat Human Drivers? Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Through our analysis, we develop specific claims highlighting the delicate balance between the advantages of AVs and potential security challenges in real-world scenarios. |
Francesco Marchiori; Alessandro Brighente; Mauro Conti; | arxiv-cs.CR | 2024-05-14 |
| 248 | Can You Hazard A Guess?: Evaluating The Effect of Augmented Reality Cues on Driver Hazard Prediction Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Semi-autonomous vehicles allow drivers to engage with non-driving related tasks (NDRTs). However, these tasks interfere with the driver’s situational awareness, key when they need … |
Thomas Goodge; Frank Pollick; S. Brewster; | Proceedings of the CHI Conference on Human Factors in … | 2024-05-11 |
| 249 | Light It Up: Evaluating Versatile Autonomous Vehicle-Cyclist External Human-Machine Interfaces Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The social cues drivers exchange with cyclists to negotiate space-sharing will disappear as autonomous vehicles (AVs) join our roads, leading to safety concerns. External … |
Ammar Al-Taie; Graham Wilson; Euan Freeman; Frank Pollick; S. Brewster; | Proceedings of the CHI Conference on Human Factors in … | 2024-05-11 |
| 250 | Hierarchical Learned Risk-Aware Planning Framework for Human Driving Modeling Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper presents a novel approach to modeling human driving behavior, designed for use in evaluating autonomous vehicle control systems in a simulation environments. |
Nathan Ludlow; Yiwei Lyu; John Dolan; | arxiv-cs.RO | 2024-05-10 |
| 251 | Probing Multimodal LLMs As World Models for Driving Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We provide a sober look at the application of Multimodal Large Language Models (MLLMs) in autonomous driving, challenging common assumptions about their ability to interpret dynamic driving scenarios. |
SHIVA SREERAM et. al. | arxiv-cs.RO | 2024-05-09 |
| 252 | PAFOT: A Position-Based Approach for Finding Optimal Tests of Autonomous Vehicles Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This paper proposes PAFOT, a position-based approach testing framework, which generates adversarial driving scenarios to expose safety violations of ADSs. |
Victor Crespo-Rodriguez; Aldeida Aleti; | arxiv-cs.SE | 2024-05-06 |
| 253 | Accelerating Autonomy: Insights from Pro Racers in The Era of Autonomous Racing – An Expert Interview Study Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This research aims to investigate professional racing drivers’ expertise to develop an understanding of their cognitive and adaptive skills to create new autonomy algorithms. |
Frederik Werner; René Oberhuber; Johannes Betz; | arxiv-cs.RO | 2024-05-04 |
| 254 | Evaluation and Optimization of Adaptive Cruise Control in Autonomous Vehicles Using The CARLA Simulator: A Study on Performance Under Wet and Dry Weather Conditions Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: The primary purpose of this research is to use cutting-edge computing approaches to locate and track vehicles in real time under various conditions to achieve a safe ACC. |
Roza Al-Hindaw; Taqwa I. Alhadidi; Mohammad Adas; | arxiv-cs.RO | 2024-05-02 |
| 255 | An Advanced Framework for Ultra-Realistic Simulation and Digital Twinning for Autonomous Vehicles Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: However, these tools often struggle with compatibility due to differing platform, hardware, and software requirements, severely hampering their combined effectiveness. This paper introduces BlueICE, an advanced framework for ultra-realistic simulation and digital twinning, to address these challenges. |
Yuankai He; Hanlin Chen; Weisong Shi; | arxiv-cs.RO | 2024-05-02 |
| 256 | Encoding Distributional Soft Actor-Critic for Autonomous Driving in Multi-Lane Scenarios [Research Frontier] [Research Frontier] Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: This paper proposes a new reinforcement learning (RL) algorithm, called encoding distributional soft actor-critic (E-DSAC), for decision-making in autonomous driving. Unlike … |
JINGLIANG DUAN et. al. | IEEE Computational Intelligence Magazine | 2024-05-01 |
| 257 | Distributed Model Predictive Control for Heterogeneous Platoon With Leading Human-Driven Vehicle Acceleration Prediction Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Heterogeneous vehicle platoons, consisting of a human-driven vehicle (HDV) as the leader and connected automated vehicles (CAVs) as followers, present a promising solution to … |
JUNRU YANG et. al. | IEEE Transactions on Intelligent Transportation Systems | 2024-05-01 |
| 258 | Predicting Pedestrian Crossing Behavior at Unsignalized Mid-Block Crosswalks Using Maximum Entropy Deep Inverse Reinforcement Learning Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In the future driverless scenario, pedestrian-vehicle conflict is an unavoidable traffic problem at unsignalized mid-block crosswalks. Autonomous vehicles are obviously impossible … |
YONGJIE WANG et. al. | IEEE Transactions on Intelligent Transportation Systems | 2024-05-01 |
| 259 | GAD-Generative Learning for HD Map-Free Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present a deep-learning-based approach that brings prediction, decision, and planning modules together with the attempt to overcome the rule-based methods’ deficiency in real-world applications of autonomous driving, especially for urban scenes. |
WEIJIAN SUN et. al. | arxiv-cs.RO | 2024-05-01 |
| 260 | Personalized Driving Behavior Oriented Autonomous Vehicle Control for Typical Traffic Situations Related Papers Related Patents Related Grants Related Venues Related Experts View |
HAORAN LI et. al. | J. Frankl. Inst. | 2024-05-01 |
| 261 | Driving Intention Recognition and Speed Prediction at Complex Urban Intersections Considering Traffic Environment Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Reliable motion prediction of surrounding vehicles is the key to safe and efficient driving of autonomous vehicles, especially at urban intersections with complex traffic … |
TIAN YUAN et. al. | IEEE Transactions on Intelligent Transportation Systems | 2024-05-01 |
| 262 | Matching 5G Connected Vehicles to Sensed Vehicles for Safe Cooperative Autonomous Driving Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: 5G connected autonomous vehicles (CAVs) help enhance perception of driving environment and cooperation among vehicles by sharing sensing and driving information, which is a … |
Zuoyin Tang; Jianhua He; Kun Yang; Hsiao-Hwa Chen; | IEEE Network | 2024-05-01 |
| 263 | Analysis of Time-to-Lane-Change-Initiation Using Realistic Driving Data Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Lane changing is a complex, yet extremely common driving manoeuvre. Studying lane changes can provide insight into how long drivers wait after activating their turn signal before … |
Sarang Jokhio; Pierluigi Olleja; Jonas Bärgman; Fei Yan; Martin Baumann; | IEEE Transactions on Intelligent Transportation Systems | 2024-05-01 |
| 264 | Enhancing Autonomous Vehicle Design and Testing: A Comprehensive Review of AR and VR Integration Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: By analyzing existing research, the review aims to identify how AR and VR can be leveraged to improve various aspects of autonomous vehicle development, including: creating more realistic and comprehensive testing environments, facilitating the design of user centered interfaces, and safely evaluating driver behavior in complex scenarios. |
Emanuella Ejichukwu; Lauren Tong; Gadir Hazime; Bochen Jia; | arxiv-cs.HC | 2024-04-29 |
| 265 | Enhancing Track Management Systems with Vehicle-To-Vehicle Enabled Sensor Fusion Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Presented are the fusion algorithm, simulated environments, and validation mechanisms. |
Thomas Billington; Ansh Gwash; Aadi Kothari; Lucas Izquierdo; Timothy Talty; | arxiv-cs.RO | 2024-04-26 |
| 266 | Redefining Safety for Autonomous Vehicles Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Existing standards and terminology only partially address these new challenges. We propose updated definitions for core system safety concepts that encompass these additional considerations as a starting point for evolving safe-ty approaches to address these additional safety challenges. |
Philip Koopman; William Widen; | arxiv-cs.RO | 2024-04-25 |
| 267 | Learning Car-Following Behaviors Using Bayesian Matrix Normal Mixture Regression Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Learning and understanding car-following (CF) behaviors are crucial for microscopic traffic simulation. Traditional CF models, though simple, often lack generalization … |
Chengyuan Zhang; Kehua Chen; Meixin Zhu; Hai Yang; Lijun Sun; | 2024 IEEE Intelligent Vehicles Symposium (IV) | 2024-04-24 |
| 268 | Driver Activity Classification Using Generalizable Representations from Vision-Language Models Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we present a novel approach leveraging generalizable representations from vision-language models for driver activity classification. |
Ross Greer; Mathias Viborg Andersen; Andreas Møgelmose; Mohan Trivedi; | arxiv-cs.CV | 2024-04-23 |
| 269 | Collaborative Perception Datasets in Autonomous Driving: A Survey Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This survey offers a comprehensive examination of collaborative perception datasets in the context of Vehicle-to-Infrastructure (V2I), Vehicle-to-Vehicle (V2V), and Vehicle-to-Everything (V2X). |
Melih Yazgan; Mythra Varun Akkanapragada; J. Marius Zoellner; | arxiv-cs.CV | 2024-04-22 |
| 270 | Should Teleoperation Be Like Driving in A Car? Comparison of Teleoperation HMIs Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Since Automated Driving Systems are not expected to operate flawlessly, Automated Vehicles will require human assistance in certain situations. For this reason, teleoperation … |
Maria-Magdalena Wolf; Richard Taupitz; Frank Diermeyer; | arxiv-cs.RO | 2024-04-21 |
| 271 | Reinforcement Learning-Based Car-Following Control for Autonomous Vehicles with OTFS Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The orthogonal time frequency space (OTFS) modulation is regarded as a promising technology to fully release the potential of integrated sensing and communication (ISAC) systems. … |
Yulin Liu; Yuye Shi; Xiaoqi Zhang; Jun Wu; Songyuan Yang; | 2024 IEEE Wireless Communications and Networking Conference … | 2024-04-21 |
| 272 | Physical Backdoor Attack Can Jeopardize Driving with Vision-Large-Language Models Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we propose BadVLMDriver, the first backdoor attack against VLMs for autonomous driving that can be launched in practice using physical objects. |
ZHENYANG NI et. al. | arxiv-cs.CR | 2024-04-19 |
| 273 | An Online Spatial-Temporal Graph Trajectory Planner for Autonomous Vehicles Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, a novel online spatial-temporal graph trajectory planner is introduced to generate safe and comfortable trajectories. |
Jilan Samiuddin; Benoit Boulet; Di Wu; | arxiv-cs.RO | 2024-04-18 |
| 274 | End-To-End Training and Testing Gamification Framework to Learn Human Highway Driving Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this research, we propose a novel game-based end-to-end learning and testing framework for autonomous vehicle highway driving, by learning from human driving skills. |
Satya R. Jaladi; Zhimin Chen; Narahari R. Malayanur; Raja M. Macherla; Bing Li; | arxiv-cs.RO | 2024-04-16 |
| 275 | Modeling The Lane-Change Reactions to Merging Vehicles for Highway On-Ramp Simulations Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: While some previous works have studied the yielding reaction of lag vehicles in response to a merging car at highway on-ramps, the possible lane-change reaction of the lag car has not been widely studied. In this work we aim to improve the simulation of the highway merge scenario by including the lane-change reaction in addition to yielding behavior of main-lane lag vehicles, and we evaluate two different models for their ability to capture this reactive lane-change behavior. |
DUSTIN HOLLEY et. al. | arxiv-cs.RO | 2024-04-15 |
| 276 | Towards Collaborative Autonomous Driving: Simulation Platform and End-to-End System Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: From the platform perspective, we present V2Xverse, a comprehensive simulation platform for collaborative autonomous driving. |
GENJIA LIU et. al. | arxiv-cs.CV | 2024-04-15 |
| 277 | Multi-Modal GPT-4 Aided Action Planning and Reasoning for Self-driving Vehicles Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Explainable decision-making is critical for building trust in autonomous vehicles. We investigate the use of a pre-trained large language model (LLM) to derive comprehensible … |
Fangyuan Chi; Yixiao Wang; P. Nasiopoulos; Victor C. M. Leung; | ICASSP 2024 – 2024 IEEE International Conference on … | 2024-04-14 |
| 278 | WROOM: An Autonomous Driving Approach for Off-Road Navigation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We design an end-to-end reinforcement learning (RL) system for an autonomous vehicle in off-road environments using a custom-designed simulator in the Unity game engine. |
Dvij Kalaria; Shreya Sharma; Sarthak Bhagat; Haoru Xue; John M. Dolan; | arxiv-cs.RO | 2024-04-12 |
| 279 | Maturity of Vehicle Digital Twins: From Monitoring to Enabling Autonomous Driving Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Digital twinning of vehicles is an iconic application of digital twins, as the concept of twinning dates back to the twinning of NASA space vehicles. Although digital twins (DTs) … |
Robert Klar; Niklas Arvidsson; Vangelis Angelakis; | arxiv-cs.ET | 2024-04-12 |
| 280 | D2E-An Autonomous Decision-making Dataset Involving Driver States and Human Evaluation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: With the advancement of deep learning technology, data-driven methods are increasingly used in the decision-making of autonomous driving, and the quality of datasets greatly … |
ZEHONG KE et. al. | ArXiv | 2024-04-12 |
| 281 | VeTraSS: Vehicle Trajectory Similarity Search Through Graph Modeling and Representation Learning Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Trajectory similarity search plays an essential role in autonomous driving, as it enables vehicles to analyze the information and characteristics of different trajectories to make … |
MING CHENG et. al. | ArXiv | 2024-04-11 |
| 282 | Monocular 3D Lane Detection for Autonomous Driving: Recent Achievements, Challenges, and Outlooks Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This review looks back and analyzes the current state of achievements in the field of 3D lane detection research. |
FULONG MA et. al. | arxiv-cs.CV | 2024-04-10 |
| 283 | Incorporating Explanations Into Human-Machine Interfaces for Trust and Situation Awareness in Autonomous Vehicles Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We first present a broad context of the explanatory human-machine systems with the 3W1H (what, whom, when, how) approach. Based on these findings, we present a situation awareness framework for calibrating users’ trust in self-driving behavior. |
Shahin Atakishiyev; Mohammad Salameh; Randy Goebel; | arxiv-cs.RO | 2024-04-10 |
| 284 | Autonomous Driving Small-Scale Cars: A Survey of Recent Development Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: These platforms not only serve as valuable educational tools for the broader public and young generations but also function as robust research platforms, contributing significantly to the ongoing advancements in autonomous driving technology. This survey outlines various small-scale car platforms, categorizing them and detailing the research advancements accomplished through their usage. |
Dianzhao Li; Paul Auerbach; Ostap Okhrin; | arxiv-cs.RO | 2024-04-09 |
| 285 | AgentsCoDriver: Large Language Model Empowered Collaborative Driving with Lifelong Learning IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In addition, the single-vehicle autonomous driving systems lack of the ability of collaboration and negotiation with other vehicles, which is crucial for the safety and efficiency of autonomous driving systems. In order to address these issues, we leverage large language models (LLMs) to develop a novel framework, AgentsCoDriver, to enable multiple vehicles to conduct collaborative driving. |
SENKANG HU et. al. | arxiv-cs.AI | 2024-04-09 |
| 286 | Automated Lane Change Behavior Prediction and Environmental Perception Based on SLAM Technology Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper explores the application of SLAM (Simultaneous Localization and Mapping) technology in the context of automatic lane change behavior prediction and environment perception for autonomous vehicles. |
Han Lei; Baoming Wang; Zuwei Shui; Peiyuan Yang; Penghao Liang; | arxiv-cs.RO | 2024-04-05 |
| 287 | One Stack to Rule Them All: To Drive Automated Vehicles, and Reach for The 4th Level Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we present our automated driving stack which combines both scalability and adaptability. |
SVEN OCHS et. al. | arxiv-cs.RO | 2024-04-03 |
| 288 | Advanced Methods and Algorithms for Selected Connected Autonomous Vehicles (CAVs) Benefits Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Autonomous vehicles offer many benefits to driving, including safety, comfort, and efficiency. The significant extended benefit of autonomy in traffic comes from the connectivity … |
A. Eskandarian; | IEEE Transactions on Intelligent Transportation Systems | 2024-04-01 |
| 289 | Performance of Successive Reference Pose Tracking Vs Smith Predictor Approach for Direct Vehicle Teleoperation Under Variable Network Delays Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Vehicle teleoperation holds potential applications as a fallback solution for autonomous vehicles, remote delivery services, hazardous operations, etc. However, network delays and … |
J. Prakash; M. Vignati; E. Sabbioni; | IEEE Transactions on Vehicular Technology | 2024-04-01 |
| 290 | A Spatiotemporal Backdoor Attack Against Behavior-Oriented Decision Makers in Metaverse: From Perspective of Autonomous Driving Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Behavior-oriented decision-makers are critical components in generating intelligent decisions for user virtual interactions in metaverse. In this work, we study the efficiency and … |
Yinbo Yu; Jiajia Liu; Hongzhi Guo; Bomin Mao; Nei Kato; | IEEE Journal on Selected Areas in Communications | 2024-04-01 |
| 291 | Motion Planning and Control of Autonomous Aggressive Vehicle Maneuvers Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Aggressive vehicle maneuvers such as those performed by professional racing drivers achieve high agility motion at the edge of handling limits. These aggressive maneuvers can be … |
A. Arab; Kaiyan Yu; Jiaxing Yu; J. Yi; | IEEE Transactions on Automation Science and Engineering | 2024-04-01 |
| 292 | A Self-Trajectory Prediction Approach for Autonomous Vehicles Using Distributed Decouple LSTM Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Vehicle trajectory prediction plays a crucial role in ensuring the driving safety of autonomous vehicles in complex traffic scenes. To accurately predict the trajectory of … |
Tianqi Qie; Weida Wang; Chao Yang; Ying Li; | IEEE Transactions on Industrial Informatics | 2024-04-01 |
| 293 | Perception and Planning of Intelligent Vehicles Based on BEV in Extreme Off-Road Scenarios Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In extreme off-road scenarios, autonomous driving technology holds strategic significance for enhancing emergency rescue capabilities, reducing labor intensity, and mitigating … |
JINGJING FAN et. al. | IEEE Transactions on Intelligent Vehicles | 2024-04-01 |
| 294 | End-to-End Autonomous Driving Through V2X Cooperation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we introduce UniV2X, a pioneering cooperative autonomous driving framework that seamlessly integrates all key driving modules across diverse views into a unified network. |
HAIBAO YU et. al. | arxiv-cs.RO | 2024-03-31 |
| 295 | Deep Reinforcement Learning in Autonomous Car Path Planning and Control: A Survey Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: It collects a series of DRL methodologies and algorithms and their applications in the field, focusing notably on their roles in trajectory planning and dynamic control. In this review, we delve into the application outcomes of DRL technologies in this domain. |
Yiyang Chen; Chao Ji; Yunrui Cai; Tong Yan; Bo Su; | arxiv-cs.RO | 2024-03-30 |
| 296 | PAFNet: Pillar Attention Fusion Network for Vehicle-Infrastructure Cooperative Target Detection Using LiDAR Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: With the development of autonomous driving, consensus is gradually forming around vehicle–infrastructure cooperative (VIC) autonomous driving. The VIC environment-sensing system … |
Luyang Wang; Jinhui Lan; Min Li; | Symmetry | 2024-03-29 |
| 297 | LeGo-Drive: Language-enhanced Goal-oriented Closed-Loop End-to-End Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: However, these estimations are coarse and are subjective to their world understanding which may generate sub-optimal decisions due to perception errors. In this paper, we introduce LeGo-Drive, which aims to address this issue by estimating a goal location based on the given language command as an intermediate representation in an end-to-end setting. |
Pranjal Paul; Anant Garg; Tushar Choudhary; Arun Kumar Singh; K. Madhava Krishna; | arxiv-cs.RO | 2024-03-29 |
| 298 | ENet-21: An Optimized Light CNN Structure for Lane Detection Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This study aims to develop an optimal structure for the lane detection problem, offering a promising solution for driver assistance features in modern vehicles by utilizing a machine learning method consisting of binary segmentation and Affinity Fields that can manage varying numbers of lanes and lane change scenarios. |
Seyed Rasoul Hosseini; Hamid Taheri; Mohammad Teshnehlab; | arxiv-cs.CV | 2024-03-28 |
| 299 | Situation Awareness for Driver-Centric Driving Style Adaptation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: However, current driving style models only partially incorporate driving environment information, limiting the alignment between an agent and the given situation. Therefore, we propose a situation-aware driving style model based on different visual feature encoders pretrained on fleet data, as well as driving behavior predictors, which are adapted to the driving style of a specific driver. |
Johann Haselberger; Bonifaz Stuhr; Bernhard Schick; Steffen Müller; | arxiv-cs.CV | 2024-03-28 |
| 300 | PLoc: A New Evaluation Criterion Based on Physical Location for Autonomous Driving Datasets Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To enhance the safety of autonomous driving, this paper introduces a novel evaluation criterion based on physical location information, termed PLoc. |
Ruining Yang; Yuqi Peng; | arxiv-cs.CV | 2024-03-28 |
| 301 | GraphAD: Interaction Scene Graph for End-to-end Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we propose the Interaction Scene Graph (ISG) as a unified method to model the interactions among the ego-vehicle, road agents, and map elements. |
YUNPENG ZHANG et. al. | arxiv-cs.CV | 2024-03-27 |
| 302 | UADA3D: Unsupervised Adversarial Domain Adaptation for 3D Object Detection with Sparse LiDAR and Large Domain Gaps Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this study, we address a gap in existing unsupervised domain adaptation approaches on LiDAR-based 3D object detection, which have predominantly concentrated on adapting between established, high-density autonomous driving datasets. |
Maciej K Wozniak; Mattias Hansson; Marko Thiel; Patric Jensfelt; | arxiv-cs.CV | 2024-03-26 |
| 303 | Long and Short-Term Constraints Driven Safe Reinforcement Learning for Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose a novel algorithm based on the long and short-term constraints (LSTC) for safe RL. |
Xuemin Hu; Pan Chen; Yijun Wen; Bo Tang; Long Chen; | arxiv-cs.LG | 2024-03-26 |
| 304 | A Method for Mapping V2X Communication Requirements to Highly Automated and Autonomous Vehicle Functions Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The significance of V2X (Vehicle-to-Everything) technology in the context of highly automated and autonomous vehicles can hardly be overestimated. While V2X is not considered a … |
Árpád Takács; T. Haidegger; | Future Internet | 2024-03-25 |
| 305 | Autonomous Driving With Perception Uncertainties: Deep-Ensemble Based Adaptive Cruise Control Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we develop an Ensemble of DNN regressors (Deep Ensemble) that generates predictions with quantification of prediction uncertainties. |
Xiao Li; H. Eric Tseng; Anouck Girard; Ilya Kolmanovsky; | arxiv-cs.AI | 2024-03-22 |
| 306 | M2DA: Multi-Modal Fusion Transformer Incorporating Driver Attention for Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: However, the extensive deployment of autonomous vehicles has yet to be realized, primarily due to 1) inefficient multi-modal environment perception: how to integrate data from multi-modal sensors more efficiently; 2) non-human-like scene understanding: how to effectively locate and predict critical risky agents in traffic scenarios like an experienced driver. To overcome these challenges, in this paper, we propose a Multi-Modal fusion transformer incorporating Driver Attention (M2DA) for autonomous driving. |
DONGYANG XU et. al. | arxiv-cs.CV | 2024-03-19 |
| 307 | Safety Implications of Explainable Artificial Intelligence in End-to-End Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: With that said, automotive researchers have not yet rigorously explored safety benefits and consequences of explanations in end-to-end autonomous driving. This paper aims to bridge the gaps between these topics and seeks to answer the following research question: What are safety implications of explanations in end-to-end autonomous driving? |
Shahin Atakishiyev; Mohammad Salameh; Randy Goebel; | arxiv-cs.RO | 2024-03-18 |
| 308 | Reinforcement Learning with Latent State Inference for Autonomous On-ramp Merging Under Observation Delay Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper presents a novel approach to address the challenging problem of autonomous on-ramp merging, where a self-driving vehicle needs to seamlessly integrate into a flow of vehicles on a multi-lane highway. |
Amin Tabrizian; Zhitong Huang; Peng Wei; | arxiv-cs.RO | 2024-03-18 |
| 309 | TrajectoryNAS: A Neural Architecture Search for Trajectory Prediction Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper introduces TrajectoryNAS, a pioneering method that focuses on utilizing point cloud data for trajectory prediction. |
Ali Asghar Sharifi; Ali Zoljodi; Masoud Daneshtalab; | arxiv-cs.CV | 2024-03-18 |
| 310 | Comprehensive Autonomous Vehicle Optimal Routing With Dynamic Heuristics Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Auto manufacturers and research groups are working on autonomous driving for long period and achieved significant progress. Autonomous vehicles (AV) are expected to transform road … |
V. Ragav; M. JesherJoshua; P. SyedIbrahimS; | ArXiv | 2024-03-17 |
| 311 | Driving Style Alignment for LLM-powered Driver Agent Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Recently, LLM-powered driver agents have demonstrated considerable potential in the field of autonomous driving, showcasing human-like reasoning and decision-making abilities.However, current research on aligning driver agent behaviors with human driving styles remains limited, partly due to the scarcity of high-quality natural language data from human driving behaviors.To address this research gap, we propose a multi-alignment framework designed to align driver agents with human driving styles through demonstrations and feedback. |
Ruoxuan Yang; Xinyue Zhang; Anais Fernandez-Laaksonen; Xin Ding; Jiangtao Gong; | arxiv-cs.RO | 2024-03-17 |
| 312 | Are You A Robot? Detecting Autonomous Vehicles from Behavior Analysis Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we present a fully-fledged framework that monitors active vehicles using camera images and state information in order to determine whether vehicles are autonomous, without requiring any active notification from the vehicles themselves. |
FABIO MARESCA et. al. | arxiv-cs.RO | 2024-03-14 |
| 313 | Path Planning for Autonomous Vehicle Turning at Intersections with Signal Temporal Logic Specifications Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: This work establishes signal temporal logic specifications for driving tasks that autonomous vehicle should execute when turning at intersections. The specifications are based on … |
YUJIN WANG et. al. | 2024 16th International Conference on Computer and … | 2024-03-14 |
| 314 | Optimized Detection and Classification on GTRSB: Advancing Traffic Sign Recognition with Convolutional Neural Networks Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper presents an innovative approach leveraging CNNs that achieves an accuracy of nearly 96\%, highlighting the potential for even greater precision through advanced localization techniques. |
Dhruv Toshniwal; Saurabh Loya; Anuj Khot; Yash Marda; | arxiv-cs.CV | 2024-03-13 |
| 315 | IAMCV Multi-Scenario Vehicle Interaction Dataset Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This study introduces the Interaction of Autonomous and Manually-Controlled Vehicles (IAMCV) dataset, a novel and extensive dataset focused on inter-vehicle interactions. |
NOVEL CERTAD et. al. | arxiv-cs.RO | 2024-03-13 |
| 316 | Real-time 3D Semantic Occupancy Prediction for Autonomous Vehicles Using Memory-efficient Sparse Convolution Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we introduce an approach that extracts features from front-view 2D camera images and LiDAR scans, then employs a sparse convolution network (Minkowski Engine), for 3D semantic occupancy prediction. |
Samuel Sze; Lars Kunze; | arxiv-cs.RO | 2024-03-13 |
| 317 | People Attribute Purpose to Autonomous Vehicles When Explaining Their Behavior Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Understanding the relevance of these concepts is crucial for building good explainable AI (XAI) which offers recourse and actionability. Focusing on autonomous driving, a complex decision-making domain, we report empirical data from two surveys on (i) how people explain the behavior of autonomous vehicles in 14 unique scenarios (N1=54), and (ii) how they perceive these explanations in terms of complexity, quality, and trustworthiness (N2=356). |
BALINT GYEVNAR et. al. | arxiv-cs.HC | 2024-03-11 |
| 318 | Autonomous Behavior Selection For Self-driving Cars Using Probabilistic Logic Factored Markov Decision Processes Related Papers Related Patents Related Grants Related Venues Related Experts View |
HÉCTOR AVILÉS et. al. | Appl. Artif. Intell. | 2024-03-11 |
| 319 | A Virtual Reality Framework for Human-Driver Interaction Research: Safe and Cost-Effective Data Collection Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The advancement of automated driving technology has led to new challenges in the interaction between automated vehicles and human road users. However, there is currently no … |
Luca Crosato; Chongfeng Wei; Edmond S. L. Ho; Hubert P. H. Shum; Yuzhu Sun; | 2024 19th ACM/IEEE International Conference on Human-Robot … | 2024-03-11 |
| 320 | Personalizing Interfaces to Humans with User-Friendly Priors Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper we enable robots to adapt their interfaces to the current user so that the human’s personalized interpretation is aligned with the robot’s meaning. |
Benjamin A. Christie; Heramb Nemlekar; Dylan P. Losey; | arxiv-cs.RO | 2024-03-11 |
| 321 | A Social Approach for Autonomous Vehicles: A Robotic Object to Enhance Passengers’ Sense of Safety and Trust Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: One of the central challenges in designing autonomous vehicles concerns passenger trust and sense of safety. This challenge is related to passengers’ well-established past … |
Srivatsan Chakravarthi Kumaran; Toam Bechor; H. Erel; | 2024 19th ACM/IEEE International Conference on Human-Robot … | 2024-03-11 |
| 322 | Design Exploration of Robotic In-car Accessories for Semi-autonomous Vehicles Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: This article explores the design of robotic in-car accessories aimed at enhancing the driving experience in semi-autonomous vehicles. Our objective is to empower these artifacts … |
HYUNJUNG KIM et. al. | Companion of the 2024 ACM/IEEE International Conference on … | 2024-03-11 |
| 323 | On Depth Prediction for Autonomous Driving Using Self-supervised Learning Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: The second contribution entails a single image-to-depth self-supervised method, proposing a solution for the rigid-scene assumption using a novel transformer-based method that outputs a pose for each dynamic object. |
Houssem Boulahbal; | arxiv-cs.CV | 2024-03-10 |
| 324 | A Detection and Filtering Framework for Collaborative Localization Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose and produce results by using a filtering framework to combine pose information derived from vision and odometry to improve the localization of the ADAS vehicle that follows the smart vehicle. |
Thirumalaesh Ashokkumar; Katherine A Skinner; Siddarth Agarwal; Ankit Vora; Ashutosh Bhown; | arxiv-cs.RO | 2024-03-08 |
| 325 | Pedestrian-Vehicle Interaction in Shared Space: Insights for Autonomous Vehicles IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present a video observation investigating pedestrian reactions to a small, automation-capable vehicle driven manually in shared spaces based on a long-term naturalistic driving dataset. |
Yiyuan Wang; Luke Hespanhol; Stewart Worrall; Martin Tomitsch; | arxiv-cs.HC | 2024-03-07 |
| 326 | RACE-SM: Reinforcement Learning Based Autonomous Control for Social On-Ramp Merging Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Autonomous parallel-style on-ramp merging in human controlled traffic continues to be an existing issue for autonomous vehicle control. Existing non-learning based solutions for … |
Jordan Poots; | arxiv-cs.AI | 2024-03-05 |
| 327 | Improved LiDAR Odometry and Mapping Using Deep Semantic Segmentation and Novel Outliers Detection Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we propose a novel framework for real-time LiDAR odometry and mapping based on LOAM architecture for fast moving platforms. |
Mohamed Afifi; Mohamed ElHelw; | arxiv-cs.CV | 2024-03-05 |
| 328 | HoloVic:Large-scale Dataset and Benchmark for Multi-Sensor Holographic Intersection and Vehicle-Infrastructure Cooperative Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Vehicle-to-everything (V2X) is a popular topic in the field of Autonomous Driving in recent years. Vehicle-infrastructure cooperation (VIC) becomes one of the important research … |
CONG MA et. al. | 2024 IEEE/CVF Conference on Computer Vision and Pattern … | 2024-03-05 |
| 329 | Cooperative and Interaction-aware Driver Model for Lane Change Maneuver Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: To achieve complete autonomous vehicles, it is crucial for autonomous vehicles to communicate and interact with their surrounding vehicles. Especially, since the lane change … |
Jemin Woo; Changsun Ahn; | ArXiv | 2024-03-04 |
| 330 | Results and Lessons Learned from Autonomous Driving Transportation Services in Airfield, Crowded Indoor, and Urban Environments Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper aims to share our unique experience to support researchers who are interested in exploring autonomous driving transportation services in various real-world environments. |
Doosan Baek; Sanghyun Kim; Seung-Woo Seo; Sang-Hyun Lee; | arxiv-cs.RO | 2024-03-02 |
| 331 | A Survey on Datasets for The Decision Making of Autonomous Vehicles IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Autonomous vehicles (AVs) are expected to reshape future transportation systems, and decision making is one of the critical modules toward high-level automated driving. To … |
Yuning Wang; Zeyu Han; Yining Xing; Shaobing Xu; Jianqiang Wang; | IEEE Intelligent Transportation Systems Magazine | 2024-03-01 |
| 332 | Safe Hybrid-Action Reinforcement Learning-Based Decision and Control for Discretionary Lane Change Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We introduce safe hybrid-action reinforcement learning into discretionary lane change for the first time and propose Parameterized Soft Actor-Critic with PID Lagrangian (PASAC-PIDLag) algorithm. |
Ruichen Xu; Xiao Liu; Jinming Xu; Yuan Lin; | arxiv-cs.RO | 2024-03-01 |
| 333 | How To Evaluate The Navigation of Autonomous Vehicles Around Pedestrians? Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The navigation of autonomous vehicles around pedestrians is a key challenge when driving in urban environments. It is essential to test the proposed navigation system using … |
Maria Kabtoul; Manon Prédhumeau; A. Spalanzani; Julie Dugdale; Philippe Martinet; | IEEE Transactions on Intelligent Transportation Systems | 2024-03-01 |
| 334 | Car-Studio: Learning Car Radiance Fields From Single-View and Unlimited In-the-Wild Images Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Compositional neural scene graph studies have shown that radiance fields can be an efficient tool in an editable autonomous driving simulator. However, previous studies learned … |
Tianyu Liu; Hao Zhao; Yang Yu; Guyue Zhou; Mingdao Liu; | IEEE Robotics and Automation Letters | 2024-03-01 |
| 335 | A Survey of Vehicle Dynamics Modeling Methods for Autonomous Racing: Theoretical Models, Physical/Virtual Platforms, and Perspectives Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: This paper presents the first survey of vehicle dynamics modeling methods for autonomous racing. Previous surveys have covered dynamics models for standard autonomous vehicles or, … |
TANTAN ZHANG et. al. | IEEE Transactions on Intelligent Vehicles | 2024-03-01 |
| 336 | Monocular 3D Object Detection Utilizing Auxiliary Learning With Deformable Convolution Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In autonomous driving systems, the monocular 3D object detection algorithm is a crucial component. The safety of autonomous vehicles heavily depends on a well-designed detection … |
Jiun-Han Chen; Jeng-Lun Shieh; Muhammad Amirul Haq; S. Ruan; | IEEE Transactions on Intelligent Transportation Systems | 2024-03-01 |
| 337 | Multi-Sensor Environmental Perception and Adaptive Cruise Control of Intelligent Vehicles Using Kalman Filter Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: This work aims to analyze the specific application of sensor environment perception based on the Kalman filter algorithm in intelligent vehicles. Hence, this work proposes a … |
Pengcheng Wei; Yushan Zeng; W. Ouyang; Jiahui Zhou; | IEEE Transactions on Intelligent Transportation Systems | 2024-03-01 |
| 338 | A Survey of Integrated Simulation Environments for Connected Automated Vehicles: Requirements, Tools, and Architecture Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Automated and connected vehicles are emerging in the market. Currently, solutions are being proposed to use these technologies for cooperative driving, which can significantly … |
Vitaly G. Stepanyants; A. Romanov; | IEEE Intelligent Transportation Systems Magazine | 2024-03-01 |
| 339 | How to Guarantee Driving Safety for Autonomous Vehicles in A Real-World Environment: A Perspective on Self-Evolution Mechanisms Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: A succession of accidents shows that production vehicles with autonomous driving systems do not work safely in real-world environments, especially when facing unseen scenarios. … |
SHUO YANG et. al. | IEEE Intelligent Transportation Systems Magazine | 2024-03-01 |
| 340 | A Cognitive-Based Trajectory Prediction Approach for Autonomous Driving IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This paper introduces the Human-Like Trajectory Prediction (HLTP) model, which adopts a teacher-student knowledge distillation framework inspired by human cognitive processes. |
HAICHENG LIAO et. al. | arxiv-cs.AI | 2024-02-29 |
| 341 | Shared Lightweight Autonomous Vehicles for Urban Food Deliveries: A Simulation Study Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: However, their fleet-level behavior remains largely unexplored. To address this gap, we have developed an agent-based model and an environmental impact study assessing the fleet performance of lightweight autonomous food delivery vehicles. |
Ainhoa Genua Cerviño; Naroa Coretti Sanchez; Elaine Liu Wang; Arnaud Grignard; Kent Larson; | arxiv-cs.CY | 2024-02-29 |
| 342 | How to Evaluate Human-likeness of Interaction-aware Driver Models Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This study proposes a method for qualitatively evaluating and designing human-like driver models for autonomous vehicles. |
Jemin Woo; Changsun Ahn; | arxiv-cs.RO | 2024-02-28 |
| 343 | ICAT: An Indoor Connected and Autonomous Testbed for Vehicle Computing Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: However, they often lack the robust sensing and computing infrastructure for advanced research. Addressing these limitations, we introduce the Indoor Connected Autonomous Testbed (ICAT), a platform that not only tackles the unique challenges of indoor autonomous driving but also innovates vehicle computing and V2X communication. |
ZHAOFENG TIAN et. al. | arxiv-cs.RO | 2024-02-27 |
| 344 | DiLu: A Knowledge-Driven Approach to Autonomous Driving with Large Language Models IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Leveraging large language models (LLMs) with emergent abilities, we propose the DiLu framework, which combines a Reasoning and a Reflection module to enable the system to perform decision-making based on common-sense knowledge and evolve continuously. |
LICHENG WEN et. al. | iclr | 2024-02-26 |
| 345 | Using Automated Vehicle Data As A Fitness Tracker for Sustainability IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: This work describes the use of on-board vehicle data from cars with advanced driver assistance features as a trip summary, with the goal of helping drivers contextualize their … |
Xia Wang; Sobenna Onwumelu; Jonathan Sprinkle; | 2024 Forum for Innovative Sustainable Transportation … | 2024-02-26 |
| 346 | Machine Learning-Based Vehicle Intention Trajectory Recognition and Prediction for Autonomous Driving IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper introduces a deep learning-based prediction method for autonomous driving lane change behavior, aiming to facilitate safe lane changes and thereby improve road safety. |
Hanyi Yu; Shuning Huo; Mengran Zhu; Yulu Gong; Yafei Xiang; | arxiv-cs.RO | 2024-02-25 |
| 347 | Discretionary Lane-Change Decision and Control Via Parameterized Soft Actor-Critic for Hybrid Action Space Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this research, we conducted autonomous lane-change simulations using both deep reinforcement learning (DRL) and model predictive control (MPC). |
Yuan Lin; Xiao Liu; Zishun Zheng; | arxiv-cs.RO | 2024-02-24 |
| 348 | Learning Inverse Kinodynamics for Autonomous Vehicle Drifting Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we explore a data-driven learning-based approach to learning the kinodynamic model of a small autonomous vehicle, and observe the effect it has on motion planning, specifically autonomous drifting. |
M. Suvarna; O. Tehrani; | arxiv-cs.RO | 2024-02-22 |
| 349 | Event-triggered Model Predictive-preview Control Strategy for Trajectory Tracking of Autonomous Vehicle Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: This paper proposes an event-triggered model predictive-preview control strategy for autonomous vehicle trajectory tracking. First, the dynamic equation is established based on … |
Jindou Zhang; Yanrong Lu; Zhiwen Wang; Yanpeng Hu; Yu Wu; | Trans. Inst. Meas. Control | 2024-02-22 |
| 350 | Exploring The Influence of Driving Context on Lateral Driving Style Preferences: A Simulator-Based Study Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Technological advancements focus on developing comfortable and acceptable driving characteristics in autonomous vehicles. Present driving functions predominantly possess … |
Johann Haselberger; Maximilian Böhle; Bernhard Schick; Steffen Müller; | ArXiv | 2024-02-22 |
| 351 | Testing Autonomous Vehicles and AI: Perspectives and Challenges from Cybersecurity, Transparency, Robustness and Fairness Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: This study explores the complexities of integrating Artificial Intelligence (AI) into Autonomous Vehicles (AVs), examining the challenges introduced by AI components and the … |
D. F. LLORCA et. al. | ArXiv | 2024-02-21 |
| 352 | Hybrid Reasoning Based on Large Language Models for Autonomous Car Driving Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this study, we investigate how well LLMs can adapt and apply a combination of arithmetic and common-sense reasoning, particularly in autonomous driving scenarios. |
Mehdi Azarafza; Mojtaba Nayyeri; Charles Steinmetz; Steffen Staab; Achim Rettberg; | arxiv-cs.CV | 2024-02-21 |
| 353 | DeepAccident: A Motion and Accident Prediction Benchmark for V2X Autonomous Driving IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we propose DeepAccident, a large-scale dataset generated via a realistic simulator containing diverse accident scenarios that frequently occur in real-world driving. |
TIANQI WANG et. al. | aaai | 2024-02-20 |
| 354 | BAT: Behavior-Aware Human-Like Trajectory Prediction for Autonomous Driving IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: The ability to accurately predict the trajectory of surrounding vehicles is a critical hurdle to overcome on the journey to fully autonomous vehicles. To address this challenge, we pioneer a novel behavior-aware trajectory prediction model (BAT) that incorporates insights and findings from traffic psychology, human behavior, and decision-making. |
HAICHENG LIAO et. al. | aaai | 2024-02-20 |
| 355 | DALDet: Depth-Aware Learning Based Object Detection for Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: 2D object detection has less computational burden but lacks spatial and geometric information embedded in depth. Therefore, we present DALDet, an efficient depth-aware learning based 2D detector, achieving high-performance object detection for autonomous driving. |
Ke Hu; Tongbo Cao; Yuan Li; Song Chen; Yi Kang; | aaai | 2024-02-20 |
| 356 | Exploiting Polarized Material Cues for Robust Car Detection Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: The large variations in lighting/weather conditions and vehicle densities of the scenes pose significant challenges to existing car detection algorithms to meet the highly accurate perception demand for safety, due to the unstable/limited color information, which impedes the extraction of meaningful/discriminative features of cars. In this work, we present a novel learning-based car detection method that leverages trichromatic linear polarization as an additional cue to disambiguate such challenging cases. |
WEN DONG et. al. | aaai | 2024-02-20 |
| 357 | Self-Perception Versus Objective Driving Behavior: Subject Study of Lateral Vehicle Guidance Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Advancements in technology are steering attention toward creating comfortable and acceptable driving characteristics in autonomous vehicles. Ensuring a safe and comfortable ride … |
Johann Haselberger; Bernhard Schick; Steffen Müller; | ArXiv | 2024-02-20 |
| 358 | DriveVLM: The Convergence of Autonomous Driving and Large Vision-Language Models IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We introduce DriveVLM, an autonomous driving system leveraging Vision-Language Models (VLMs) for enhanced scene understanding and planning capabilities. |
XIAOYU TIAN et. al. | arxiv-cs.CV | 2024-02-19 |
| 359 | GenAD: Generative End-to-End Autonomous Driving IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We propose GenAD, a generative framework that casts autonomous driving into a generative modeling problem. |
Wenzhao Zheng; Ruiqi Song; Xianda Guo; Chenming Zhang; Long Chen; | arxiv-cs.CV | 2024-02-18 |
| 360 | Adaptive Decision-Making for Autonomous Vehicles: A Learning-Enhanced Game-Theoretic Approach in Interactive Environments Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper proposes an adaptive behavioral decision-making method for autonomous vehicles (AVs) focusing on complex merging scenarios. |
HEYE HUANG et. al. | arxiv-cs.MA | 2024-02-18 |
| 361 | A Novel Framework for Adaptive Stress Testing of Autonomous Vehicles in Multi-lane Roads Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose a novel AST framework to systematically explore corner cases of intelligent driving models that can result in safety concerns involving both longitudinal and lateral vehicle’s movements. |
Linh Trinh; Quang-Hung Luu; Thai M. Nguyen; Hai L. Vu; | arxiv-cs.RO | 2024-02-18 |
| 362 | RAG-Driver: Generalisable Driving Explanations with Retrieval-Augmented In-Context Learning in Multi-Modal Large Language Model IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Moreover, the prohibitively expensive training requirements of MLLM and the unsolved problem of catastrophic forgetting further limit their generalisability post-deployment. To address these challenges, we present RAG-Driver, a novel retrieval-augmented multi-modal large language model that leverages in-context learning for high-performance, explainable, and generalisable autonomous driving. |
JIANHAO YUAN et. al. | arxiv-cs.RO | 2024-02-16 |
| 363 | CASTNet: A Context-Aware, Spatio-Temporal Dynamic Motion Prediction Ensemble for Autonomous Driving Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Autonomous vehicles are cyber-physical systems that combine embedded computing and deep learning with physical systems to perceive the world, predict future states, and safely … |
Trier Mortlock; A. Malawade; Kohei Tsujio; M. A. Faruque; | ACM Transactions on Cyber-Physical Systems | 2024-02-16 |
| 364 | In-Vehicle Passenger Occupancy Detection Using 60-GHz FMCW Radar Sensor Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Modern autonomous driving vehicles are equipped with a number of sensors to perceive the surrounding environment and enable automation of various systems. Especially, the … |
Sohee Lim; J. Jung; Eunji Lee; Jeongsik Choi; Seong-Cheol Kim; | IEEE Internet of Things Journal | 2024-02-15 |
| 365 | In-Vehicle Digital Forensics for Connected and Automated Vehicles With Public Auditing Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Connected and autonomous vehicles produce a substantial amount of data that is essential for implementing advanced and intelligent features. Given the importance and the volume of … |
Jiangtao Li; Zhaoheng Song; Zihou Zhang; Yufeng Li; Chenhong Cao; | IEEE Internet of Things Journal | 2024-02-15 |
| 366 | Deep Reinforcement Learning for Autonomous Driving in Amazon Web Services DeepRacer Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The development of autonomous driving models through reinforcement learning has gained significant traction. However, developing obstacle avoidance systems remains a challenge. … |
Bohdan Petryshyn; Serhii Postupaiev; Soufiane Ben Bari; A. Ostreika; | Inf. | 2024-02-15 |
| 367 | Design and Realization of A Benchmarking Testbed for Evaluating Autonomous Platooning Algorithms Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper introduces a testbed for evaluating and benchmarking platooning algorithms on 1/10th scale vehicles with onboard sensors. |
Michael Shaham; Risha Ranjan; Engin Kirda; Taskin Padir; | arxiv-cs.RO | 2024-02-14 |
| 368 | Enhanced Deep Q-Learning for 2D Self-Driving Cars: Implementation and Evaluation on A Custom Track Environment Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This research project presents the implementation of a Deep Q-Learning Network (DQN) for a self-driving car on a 2-dimensional (2D) custom track, with the objective of enhancing the DQN network’s performance. |
Sagar Pathak; Bidhya Shrestha; Kritish Pahi; | arxiv-cs.AI | 2024-02-13 |
| 369 | Vehicle Behavior Prediction By Episodic-Memory Implanted NDT Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we explore the interpretability of behavior prediction of target vehicles by an Episodic Memory implanted Neural Decision Tree (abbrev. |
Peining Shen; Jianwu Fang; Hongkai Yu; Jianru Xue; | arxiv-cs.AI | 2024-02-13 |
| 370 | DART: A Compact Platform For Autonomous Driving Research Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper presents the design of a research platform for autonomous driving applications, the Delft’s Autonomous-driving Robotic Testbed (DART). |
Lorenzo Lyons; Thijs Niesten; Laura Ferranti; | arxiv-cs.RO | 2024-02-12 |
| 371 | DART: A Compact Platform for Autonomous Driving Research∗ Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: This paper presents the design of a research platform for autonomous driving applications, the Delft’s Autonomous-driving Robotic Testbed (DART). Our goal was to design a … |
Lorenzo Lyons; Thijs Niesten; Laura Ferranti; | 2024 IEEE Intelligent Vehicles Symposium (IV) | 2024-02-12 |
| 372 | Risk Assessment and Observation of Driver with Pedestrian Using Instantaneous Heart Rate and HRV Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this study, we observed driver behaviour in certain scenarios which have pedestrian on driving simulator. |
Riku Kikuta; Daniel Carruth; John Ball; Reuben Burch; Ichiro Kageyama; | arxiv-cs.RO | 2024-02-10 |
| 373 | Hierarchical Motion Planning and Offline Robust Model Predictive Control for Autonomous Vehicles Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Driving vehicles in complex scenarios under harsh conditions is the biggest challenge for autonomous vehicles (AVs). To address this issue, we propose hierarchical motion planning and robust control strategy using the front-active steering system in complex scenarios with various slippery road adhesion coefficients while considering vehicle uncertain parameters. |
Hung Duy Nguyen; Minh Nhat Vu; Nguyen Ngoc Nam; Kyoungseok Han; | arxiv-cs.RO | 2024-02-07 |
| 374 | Leveraging Software Product Lines for Testing Autonomous Vehicles Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Extensive testing of Automated Driving Systems (ADS), such as Advanced Driver Assistance Systems and Autonomous Vehicles, is commonly conducted using simulators programmed to … |
Stefan Klikovits; Alessio Gambi; Deepak Dhungana; Rick Rabiser; | Proceedings of the 18th International Working Conference on … | 2024-02-07 |
| 375 | Investigating Driving Interactions: A Robust Multi-Agent Simulation Framework for Autonomous Vehicles Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This work introduces a novel synchronous multi-agent simulation framework for autonomous vehicles in interactive scenarios. |
Marc Kaufeld; Rainer Trauth; Johannes Betz; | arxiv-cs.RO | 2024-02-07 |
| 376 | V2VSSC: A 3D Semantic Scene Completion Benchmark for Perception with Vehicle to Vehicle Communication Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: SSC is often hampered by occlusion and short-range perception due to sensor limitations, which can pose safety risks. This paper proposes a fundamental solution to this problem by leveraging vehicle-to-vehicle (V2V) communication. |
YUANFANG ZHANG et. al. | arxiv-cs.CV | 2024-02-07 |
| 377 | OASim: An Open and Adaptive Simulator Based on Neural Rendering for Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: With the development of implicit rendering technology and in-depth research on using generative models to produce data at scale, we propose OASim, an open and adaptive simulator and autonomous driving data generator based on implicit neural rendering. |
GUOHANG YAN et. al. | arxiv-cs.CV | 2024-02-06 |
| 378 | Synthesizing Follow-Up Drive Data for Enhanced Road Safety in Intelligent Driving Function Systems Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Such scenarios often suffer from a dearth of available data, primarily due to their inherent complexity and the risks involved. Addressing this gap, our research introduces a novel methodology designed to create a wide array of diverse and realistic safety-critical driving scenarios. |
Nico Schick; Franjo Čičak; | arxiv-cs.RO | 2024-02-04 |
| 379 | A Review of Full-Sized Autonomous Racing Vehicle Sensor Architecture Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper thoroughly explores challenges and advances in autonomous racing vehicle design and performance, focusing on Roborace and the Indy Autonomous Challenge (IAC). This review provides a detailed analysis of sensor setups, architectural nuances, and test metrics on these cutting-edge platforms. |
Manuel Mar; Vishnu Chellapandi; Liangqi Yuan; Ziran Wang; Eric Dietz; | arxiv-cs.RO | 2024-02-04 |
| 380 | Car-Following Behavior Modeling With Maximum Entropy Deep Inverse Reinforcement Learning Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Modeling driving behavior plays a pivotal role in advancing the development of human-like autonomous driving. In light of this, this paper proposes a car-following behavior … |
JIANGFENG NAN et. al. | IEEE Transactions on Intelligent Vehicles | 2024-02-01 |
| 381 | Reconfigurable Intelligent Computational Surfaces for MEC-Assisted Autonomous Driving Networks Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we focus on improving autonomous driving safety via task offloading from cellular vehicles (CVs), using vehicle-to-infrastructure (V2I) links, to an multi-access edge computing (MEC) server. |
BO YANG et. al. | arxiv-cs.DC | 2024-02-01 |
| 382 | Distributed Fault-Tolerant Formation Control Design Via High-Order Sliding Mode for A Team of Car-Like Vehicles Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: This study proposes a distributed fault-tolerant formation control scheme for a team of car-like vehicles with actuator faults. The proposed method includes a fault diagnostic … |
Mahmoud Hussein; Youmin Zhang; Zhaoheng Liu; | IEEE Transactions on Intelligent Vehicles | 2024-02-01 |
| 383 | Transforming Transportation: Safe and Secure Vehicular Communication and Anomaly Detection With Intelligent Cyber–Physical System and Deep Learning Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Intelligent Cyber-Physical Transportation Systems (ICTS) rely deeply on data exchange between moving vehicles and fixed infrastructure. While exchanging data between vehicles in … |
H. ALEISA et. al. | IEEE Transactions on Consumer Electronics | 2024-02-01 |
| 384 | The Challenges of Driving Mode Switching in Automated Vehicles: A Review Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The conversion between automated and manual driving is currently an inevitable topic for automated vehicles. Firstly, from the concepts, types, and key issues of driving mode … |
Lin Hu; Hai Cai; Jing Huang; Dongpu Cao; Xin Zhang; | IEEE Transactions on Vehicular Technology | 2024-02-01 |
| 385 | Multi-agent Path Finding for Cooperative Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we hybridize insights and algorithms from MAPF with the structure and heuristics of optimizing the crossing order of CAVs at signal-free intersections. |
Zhongxia Yan; Han Zheng; Cathy Wu; | arxiv-cs.MA | 2024-01-31 |
| 386 | GarchingSim: An Autonomous Driving Simulator with Photorealistic Scenes and Minimalist Workflow Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We introduce an autonomous driving simulator with photorealistic scenes, meanwhile keeping a user-friendly workflow. |
LIGUO ZHOU et. al. | arxiv-cs.RO | 2024-01-28 |
| 387 | Driving Towards Inclusion: A Systematic Review of AI-powered Accessibility Enhancements for People with Disability in Autonomous Vehicles Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Safety considerations, ethical concerns, and adoption of AVs are other major issues that require thorough investigation. Building on these findings, we propose an end-to-end design framework that addresses accessibility requirements across diverse user demographics, including older adults and individuals with physical or cognitive impairments. |
ASHISH BASTOLA et. al. | arxiv-cs.HC | 2024-01-25 |
| 388 | Evaluating Driver Readiness in Conditionally Automated Vehicles from Eye-Tracking Data and Head Pose Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: The experiments in this article revealed that a Bidirectional LSTM architecture, combining both feature sets, achieves a mean absolute error of 0.363 on the DMD dataset, demonstrating superior performance in assessing driver readiness. |
Mostafa Kazemi; Mahdi Rezaei; Mohsen Azarmi; | arxiv-cs.CV | 2024-01-20 |
| 389 | BadODD: Bangladeshi Autonomous Driving Object Detection Dataset Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose a comprehensive dataset for object detection in diverse driving environments across 9 districts in Bangladesh. |
Mirza Nihal Baig; Rony Hajong; Mahdi Murshed Patwary; Mohammad Shahidur Rahman; Husne Ara Chowdhury; | arxiv-cs.CV | 2024-01-19 |
| 390 | A Lightweight Multi-Attack CAN Intrusion Detection System on Hybrid FPGAs IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we present a lightweight multi-attack quantised machine learning model that is deployed using Xilinx’s Deep Learning Processing Unit IP on a Zynq Ultrascale+ (XCZU3EG) FPGA, which is trained and validated using the public CAN Intrusion Detection dataset. |
Shashwat Khandelwal; Shreejith Shanker; | arxiv-cs.CR | 2024-01-19 |
| 391 | Model-Assisted Learning for Adaptive Cooperative Perception of Connected Autonomous Vehicles IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we investigate unicast-based CP among CAV pairs. |
Kaige Qu; Weihua Zhuang; Qiang Ye; Wen Wu; Xuemin Shen; | arxiv-cs.NI | 2024-01-18 |
| 392 | Geo-locating Road Objects Using Inverse Haversine Formula with NVIDIA Driveworks Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present a measurement pipeline suitable for autonomous driving (AD) platforms and provide detailed guidelines for calibrating cameras using NVIDIA DriveWorks. |
Mamoona Birkhez Shami; Gabriel Kiss; Trond Arve Haakonsen; Frank Lindseth; | arxiv-cs.RO | 2024-01-15 |
| 393 | ACAV: A Framework for Automatic Causality Analysis in Autonomous Vehicle Accident Recordings Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: While effective at finding violations, these approaches do not identify the decisions and actions that \emph{caused} them — information that is critical for improving the safety of ADSs. To address this challenge, we propose ACAV, an automated framework designed to conduct causality analysis for AV accident recordings in two stages. |
Huijia Sun; Christopher M. Poskitt; Yang Sun; Jun Sun; Yuqi Chen; | arxiv-cs.SE | 2024-01-13 |
| 394 | Robust Control for Autonomous Vehicle Lateral Dynamics: A Comparative Study of Gain-Schedule LPV and Non-linear MPC* Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The increasing demand for autonomous vehicles necessitates advanced control strategies, particularly for managing complex driving scenarios like high-speed turns. In this study, … |
Ahmad Abubakar; Mohammed B. Mohiuddin; Oussama Abdul Hay; M. Yakubu; Ruqqayya Alhammadi; | 2024 8th International Conference on Robotics, Control and … | 2024-01-12 |
| 395 | Autonomous Vehicle Security: Current Survey and Future Research Challenges Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The advancement in technology and the adoption of innovative developments have made our lives easier. Every industry, from agriculture to transport, has experienced this … |
Isha Pali; Ruhul Amin; Mohammad Abdussami; | Security and Privacy | 2024-01-11 |
| 396 | Advanced Road Safety: Collective Perception for Probability of Collision Estimation of Connected Vehicles Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In the dynamic landscape of vehicular communication systems, connected vehicles (CVs) present unprecedented capabilities in perception, cooperation, and, notably, probability of … |
Sabrine Belmekki; Dominique Gruyer; | Comput. | 2024-01-09 |
| 397 | Comparing Real and Simulated Performance for An Off‐road Autonomous Ground Vehicle in Obstacle Avoidance Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: This field report presents the results of a study of obstacle detection and avoidance (ODOA) by an autonomous ground vehicle (AGV) in off‐road driving conditions. This study … |
DANIEL W. CARRUTH et. al. | Journal of Field Robotics | 2024-01-08 |
| 398 | Autonomous Driving of Personal Mobility By Imitation Learning from Small and Noisy Dataset Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The concept of personal mobility is getting popular, and its autonomous driving specialized for individual drivers is expected for a new step. However, a large driving dataset is … |
Taisuke Kobayashi; Takahito Enomoto; | 2024 IEEE/SICE International Symposium on System … | 2024-01-08 |
| 399 | DME-Driver: Integrating Human Decision Logic and 3D Scene Perception in Autonomous Driving IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper introduces DME-Driver, a new autonomous driving system that enhances the performance and reliability of autonomous driving system. |
Wencheng Han; Dongqian Guo; Cheng-Zhong Xu; Jianbing Shen; | arxiv-cs.RO | 2024-01-07 |
| 400 | Blockchain Model for Reliable Consensus Algorithm on The Autonomous Driving Data Management Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: This paper seeks to propose a reliable data management system for communication and agreement between nodes based on a blockchain system platform to safely and systematically … |
Jimin Ryu; Yeonsu Lee; Y. Yoon; | 2024 IEEE International Conference on Consumer Electronics … | 2024-01-06 |
| 401 | Deep Reinforcement Learning for Local Path Following of An Autonomous Formula SAE Vehicle Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper presents the use of Deep Reinforcement Learning (DRL) and Inverse Reinforcement Learning (IRL) to map locally-observed cone positions to a desired steering angle for race track following. |
Harvey Merton; Thomas Delamore; Karl Stol; Henry Williams; | arxiv-cs.RO | 2024-01-05 |
| 402 | Collaborative Perception for Connected and Autonomous Driving: Challenges, Possible Solutions and Opportunities IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: However, current autonomous driving systems are mostly based on a single vehicle, which has significant limitations which still poses threats to driving safety. Collaborative perception with connected and autonomous vehicles (CAVs) shows a promising solution to overcoming these limitations. |
Senkang Hu; Zhengru Fang; Yiqin Deng; Xianhao Chen; Yuguang Fang; | arxiv-cs.CV | 2024-01-03 |
| 403 | Event-Triggered Adaptive Fuzzy Approach-Based Lateral Motion Control for Autonomous Vehicles Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: As the level of vehicle intelligence increases, the amount of communication data is also constantly increasing. At the same time, there is parameter uncertainty and unknown … |
Junda Zhang; Lipeng Zhang; Shuaishuai Liu; Jiantao Wang; | IEEE Transactions on Intelligent Vehicles | 2024-01-01 |
| 404 | Real Time Car Model and Plate Detection System By Using Deep Learning Architectures Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The advent of deep learning has revolutionized computer vision, enabling real-time analysis crucial for traffic management and vehicle identification. This research introduces a … |
Twana Mustafa; Murat Karabatak; | IEEE Access | 2024-01-01 |
| 405 | Trajectory Prediction Network of Autonomous Vehicles With Fusion of Historical Interactive Features IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In order to improve driving safety and achieve more accurate decisions and planning, autonomous vehicles are required to predict the future trajectories of the surrounding … |
Z. ZUO et. al. | IEEE Transactions on Intelligent Vehicles | 2024-01-01 |
| 406 | Nonlinear Terminal-Free MPC on Multitype Bend Tracking With Discontinuous Reference Paths for Autonomous Vehicles Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In this article, multitype bend tracking with discontinuous reference paths is researched by a nonlinear terminal-free model predictive control (MPC) with an artificial reference … |
Hai Zhao; Hongjiu Yang; Yuanqing Xia; Z. Zuo; | IEEE Transactions on Industrial Electronics | 2024-01-01 |
| 407 | Enhancing Vehicle Detection and Tracking in UAV Imagery: A Pixel Labeling and Particle Filter Approach Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Systems must be capable of detecting and tracking autonomous vehicles for intelligent management and control of transportation. Even though several methods are used to create … |
MUHAMMAD OVAIS YUSUF et. al. | IEEE Access | 2024-01-01 |
| 408 | LF-Net: A Learning-Based Frenet Planning Approach for Urban Autonomous Driving Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Learning-based approaches hold great potential for autonomous urban driving motion planning. Compared to traditional rule-based methods, they offer greater flexibility in planning … |
Zihan Yu; Meixin Zhu; Kehua Chen; Xiaowen Chu; Xuesong Wang; | IEEE Transactions on Intelligent Vehicles | 2024-01-01 |
| 409 | TOFG: Temporal Occupancy Flow Graph for Prediction and Planning in Autonomous Driving Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In autonomous driving, an accurate understanding of the environment, e.g., the vehicle-to-vehicle and vehicle-to-lane interactions, plays a critical role in many driving tasks, … |
ZIHAO WEN et. al. | IEEE Transactions on Intelligent Vehicles | 2024-01-01 |
| 410 | PMWorld: A Parallel Testing Platform for Autonomous Driving in Mines Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Autonomous driving will be widely deployed in the near future which can efficiently reduce the workload on human drivers. Unlike complicated urban driving conditions, fully … |
YUNFENG AI et. al. | IEEE Transactions on Intelligent Vehicles | 2024-01-01 |
| 411 | Optimizing Automotive MIMO Radar Detection With Regression Modeling-Based Correlation Test Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Persistent automation of driving functions results in development of advanced driver assistance systems (ADAS) into fully autonomous driving systems. The environmental sensing … |
H. S. Fouda; Heba S. Dawood; Mostafa M. Fouda; S. I. Farghaly; | IEEE Access | 2024-01-01 |
| 412 | Formal Methods for Autonomous Vehicles Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: This article describes the impact that autonomous vehicle operation will have on a range of domains and how formal methods can guarantee the safe operation of those vehicles. The … |
Gregory Provan; Tiziana Margaria; | IT Professional | 2024-01-01 |
| 413 | Tube-Based Robust Model Predictive Control for Tracking Control of Autonomous Articulated Vehicles Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Articulated vehicles play a critical role in the transportation industry, but the rise in truck-related accidents necessitates effective solutions. Autonomous driving presents a … |
Dasol Jeong; Seibum B. Choi; | IEEE Transactions on Intelligent Vehicles | 2024-01-01 |
| 414 | An Ethical Behavioral Decision Algorithm Awaring of VRUs for Autonomous Vehicle Trajectory Planning Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The advancement in autonomous vehicle technology’s independence and ethical considerations have led to the development of the field of machine ethics. The issue of ensuring the … |
Xiangyun Li; Jielin Li; Kai Gao; | IEEE Access | 2024-01-01 |
| 415 | Modular Learning: Agile Development of Robust Traffic Sign Recognition Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Autonomous driving is an important research domain with great impact for the future traffic communication. The trend of self-driving car will affect the design of vehicles that … |
Yu-Hsun Lin; Yong-Sheng Wang; | IEEE Transactions on Intelligent Vehicles | 2024-01-01 |
| 416 | An Edge-Based Digital Twin Framework for Connected and Autonomous Vehicles: Design and Evaluation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Connected and Autonomous Vehicles (CAVs) will be provided with multiple sensing and connectivity options as well as embedded computing and decision-making capabilities. The … |
C. CAMPOLO et. al. | IEEE Access | 2024-01-01 |
| 417 | Knowledge-Aware Object Detection in Traffic Scenes Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: : Autonomous driving is a widely popular domain that empowers the autonomous vehicle to make crucial decisions in a constantly evolving traffic scenario. The role of perception is … |
Jean-Francois Nies; Syed Tahseen Raza Rizvi; Mohsin Munir; Ludger Elst; A. Dengel; | International Conference on Agents and Artificial … | 2024-01-01 |
| 418 | Simulation of Vehicle Interaction Behavior in Merging Scenarios: A Deep Maximum Entropy-Inverse Reinforcement Learning Method Combined With Game Theory IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Simulation testing based on virtual scenarios can improve the efficiency of safety testing for high-level autonomous vehicles (AVs). In most traffic scenarios, such as merging … |
Wenli Li; Fanke Qiu; Lingxi Li; Yinan Zhang; Kan Wang; | IEEE Transactions on Intelligent Vehicles | 2024-01-01 |
| 419 | IdentifierIDS: A Practical Voltage-Based Intrusion Detection System for Real In-Vehicle Networks Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: As innovative technologies such as autonomous driving, over-the-air technology, and vehicle-to-everything are widely applied to intelligent connected vehicles, people can gain a … |
Zhouyan Deng; Jiajia Liu; Yijie Xun; Junman Qin; | IEEE Transactions on Information Forensics and Security | 2024-01-01 |
| 420 | Scalable Game-Theoretic Decision-Making for Self-Driving Cars at Unsignalized Intersections Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Sharing the road with human drivers requires autonomous vehicles to account for interactions between them. To resolve traffic conflicts in unsignalized intersections, a robust … |
Mingfeng Yuan; J. Shan; Hunter Schofield; | IEEE Transactions on Industrial Electronics | 2024-01-01 |
| 421 | Collision Risk Assessment for Intelligent Vehicles Considering Multi-Dimensional Uncertainties Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: To ensure the reliability of autonomous driving, the system must be capable of potential hazard identification and appropriate response to prevent accidents. This involves the … |
ZHENHAI GAO et. al. | IEEE Access | 2024-01-01 |
| 422 | Road Type Classification Using Time-Frequency Representations of Tire Sensor Signals Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Smart tire technologies offer a novel sensing methodology for vehicle environment perception by providing direct measurements of tire dynamics parameters. This information can be … |
TAMÁS DÓZSA et. al. | IEEE Access | 2024-01-01 |
| 423 | Pose and Shape Estimation of Humans in Vehicles Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: As autonomous driving technologies advance, occupants are expected to be free from driving, diversifying interaction scenarios with vehicles. Despite the growing importance of … |
Kwang-Lim Ko; Jun-Sang Yoo; Chang-Woo Han; Jungyeop Kim; Seung-Won Jung; | IEEE Transactions on Intelligent Transportation Systems | 2024-01-01 |
| 424 | Blockchain-Enabled Secure Communication Framework for Enhancing Trust and Access Control in The Internet of Vehicles (IoV) Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The Internet of Vehicles (IoV) is an incipient topic within the wider domain of the Internet of Things (IoT). Using this technology intelligent transportation systems (ITS) can be … |
Sadia Hussain; Shahzaib Tahir; Asif Masood; Hasan Tahir; | IEEE Access | 2024-01-01 |
| 425 | Collision Avoidance for Autonomous Vehicles Based on MPC With Adaptive APF Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In this paper, a model predictive control (MPC) strategy is developed to realize collision avoidance with dynamic obstacle vehicles for an autonomous vehicle. A novel collision … |
Hongjiu Yang; Yongqi He; Yang Xu; Hai Zhao; | IEEE Transactions on Intelligent Vehicles | 2024-01-01 |
| 426 | Deep Learning Frontiers in 3D Object Detection: A Comprehensive Review for Autonomous Driving Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Self-driving cars or autonomous vehicles (AVs) represent a transformative technology with the potential to revolutionize transportation. The rise of self-driving cars has driven … |
Ambati Pravallika; Mohammad Farukh Hashmi; Aditya Gupta; | IEEE Access | 2024-01-01 |
| 427 | Navigating Unsignalized Intersections: A Predictive Approach for Safe and Cautious Autonomous Driving Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Collision avoidance at unsignalized intersections is critical to autonomous vehicle technology. Our work addresses the challenging problem of online speed planning along a … |
Niusha Pourjafari; Amir Ghafari; A. Ghaffari; | IEEE Transactions on Intelligent Vehicles | 2024-01-01 |
| 428 | Evaluation Framework for Electric Vehicle Security Risk Assessment IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Electric Vehicles (EVs) seem promising for future transportation to solve environmental concerns and energy management problems. According to Reuters, global car makers plan to … |
Soheil Shirvani; Yaser Baseri; Ali A. Ghorbani; | IEEE Transactions on Intelligent Transportation Systems | 2024-01-01 |
| 429 | Co-driver: VLM-based Autonomous Driving Assistant with Human-like Behavior and Understanding for Complex Road Scenes Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: —Recent research about Large Language Model based autonomous driving solutions shows a promising picture in planning and control fields. However, heavy computational resources and … |
Ziang Guo; Artem Lykov; Zakhar Yagudin; Mikhail Konenkov; D. Tsetserukou; | ArXiv | 2024-01-01 |
| 430 | Autonomous Vehicle Localization Without Prior High-Definition Map Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Accurate localization by which vehicles can arrive at their destination while accurately following a given route is one of the most important factors for autonomous driving. In … |
Sangmin Lee; Jee-Hwan Ryu; | IEEE Transactions on Robotics | 2024-01-01 |
| 431 | Interaction-Aware Planning With Deep Inverse Reinforcement Learning for Human-Like Autonomous Driving in Merge Scenarios Summary Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Abstract: Merge scenarios on highway are often challenging for autonomous driving, due to its lack of sufficient tacit understanding on and subtle interaction with human drivers in the … |
JIANG NAN et. al. | IEEE Transactions on Intelligent Vehicles | 2024-01-01 |
| 432 | Self-Organized Routing for Autonomous Vehicles Via Deep Reinforcement Learning Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Routing for autonomous vehicles with global traffic information and sufficient direct cooperation among vehicles has been widely studied to relieve traffic congestion in recent … |
Huaxin Pei; Jiawei Zhang; Yi Zhang; Huile Xu; Li Li; | IEEE Transactions on Vehicular Technology | 2024-01-01 |
| 433 | Vehicle Directional Driving Behavior Segmentation Based on Cornering Strength Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: With the rapid development in recent years, the autonomous driving system comes to the stage of commercial deployment now. However, it is not well accepted by society. This is due … |
Yunpeng Bo; Xin Jia; Hsin Guan; Haobin Wang; | IEEE Access | 2024-01-01 |
| 434 | Deep Learning-Based Object Detection and Classification for Autonomous Vehicles in Different Weather Scenarios of Quebec, Canada Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The rapid development of self-driving vehicles requires integrating a sophisticated sensing system to address the various obstacles posed by road traffic efficiently. While … |
TEENA SHARMA et. al. | IEEE Access | 2024-01-01 |
| 435 | A Risk-Field Based Motion Planning Method for Multi-Vehicle Conflict Scenario Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In the present studies of autonomous driving systems, motion planning of automated vehicles in complex traffic scenarios is a tough issue. The problem of adjusting automated … |
Zhaojie Wang; G. Lu; Haitian Tan; Miaomiao Liu; | IEEE Transactions on Vehicular Technology | 2024-01-01 |
| 436 | Motion Planning for Urban Autonomous Bus Considering Localization Uncertainty Using Offset-Free MPC Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: This study proposes a novel motion planning strategy to address localization uncertainty in autonomous buses. Conventional motion planning algorithms utilize information from … |
Ara Jo; Woojin Kwon; Kyoungsu Yi; | IEEE Access | 2024-01-01 |
| 437 | Connected Vehicle Perception Monitoring: A Runtime Verification Approach for Enhanced Autonomous Driving Safety Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: : Modern autonomous vehicles rely heavily on complex sensor systems for perception tasks, including Advanced Driver Assistance Systems and Autonomous Driving Systems. Accurate … |
R. Castelino; Karina Rothemann; A. Lamm; Axel Hahn; | International Conference on Vehicle Technology and … | 2024-01-01 |
| 438 | Occlusion-Aware Planning for Autonomous Driving With Vehicle-to-Everything Communication Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Navigating safely through occlusion scenarios remains challenging for Autonomous Vehicles (AVs) due to onboard sensors with obstructed Fields of View (FoVs). Integrating … |
Chi Zhang; Florian Steinhauser; Gereon Hinz; Alois Knoll; | IEEE Transactions on Intelligent Vehicles | 2024-01-01 |
| 439 | RainSD: Rain Style Diversification Module for Image Synthesis Enhancement Using Feature-Level Style Distribution Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, a synthetic road dataset with sensor blockage generated from real road dataset BDD100K is suggested in the format of BDD100K annotation. |
HYEONJAE JEON et. al. | arxiv-cs.CV | 2023-12-31 |
| 440 | Analysing and Modelling of Discretionary Lane Change Duration Considering Driver Heterogeneity IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: This paper aims to investigate the characteristics of discretionary lane change (LC) duration on freeways based on an enriched dataset that contains the LC vehicle trajectories of … |
Gen Li; Zhen Yang; Yiyong Pan; Jianxiao Ma; | Transportmetrica B: Transport Dynamics | 2023-12-31 |
| 441 | Risk-anticipatory Autonomous Driving Strategies Considering Vehicles’ Weights, Based on Hierarchical Deep Reinforcement Learning Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This study develops an autonomous driving strategy based on risk anticipation, considering the weights of surrounding vehicles and using hierarchical deep reinforcement learning. |
Di Chen; Hao Li; Zhicheng Jin; Huizhao Tu; Meixin Zhu; | arxiv-cs.RO | 2023-12-27 |
| 442 | End-To-End Planning of Autonomous Driving in Industry and Academia: 2022-2023 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: This paper aims to provide a quick review of the methods including the technologies in detail that are currently reported in industry and academia. Specifically, this paper … |
Gongjin Lan; Qi Hao; | ArXiv | 2023-12-26 |
| 443 | Digital Twins for Autonomous Driving: A Comprehensive Implementation and Demonstration Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The concept of a digital twin (DT) plays a pivotal role in the ongoing digital transformation and has achieved significant strides for various wireless applications in recent … |
KUI WANG et. al. | 2024 International Conference on Information Networking … | 2023-12-25 |
| 444 | Enhanced Real-time Road-vehicles’ Detection and Tracking for Driving Assistance Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Road-object detection, recognition, and tracking are vital tasks that must be performed reliably and accurately by self-driving car systems in order to achieve the … |
Wael Farag; Muhammad Nadeem; | Int. J. Knowl. Based Intell. Eng. Syst. | 2023-12-21 |
| 445 | Autonomous Driving Using Residual Sensor Fusion and Deep Reinforcement Learning Summary Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Abstract: This paper proposes a novel approach by integrating sensor fusion with deep reinforcement learning, specifically the Soft Actor-Critic (SAC) algorithm, to develop an optimal … |
Amin Jalal Aghdasian; Amirhossein Heydarian Ardakani; Kianoush Aqabakee; F. Abdollahi; | 2023 11th RSI International Conference on Robotics and … | 2023-12-19 |
| 446 | First Qualitative Observations on Deep Learning Vision Model YOLO and DETR for Automated Driving in Austria Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: The research focuses on the unique challenges posed by the road conditions and traffic scenarios in Austria. |
Stefan Schoder; | arxiv-cs.CV | 2023-12-19 |
| 447 | Parameterized Decision-Making with Multi-Modality Perception for Autonomous Driving IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Autonomous driving is an emerging technology that has advanced rapidly over the last decade. Modern transportation is expected to benefit greatly from a wise decision-making … |
YUYANG XIA et. al. | 2024 IEEE 40th International Conference on Data Engineering … | 2023-12-19 |
| 448 | Parameterized Decision-making with Multi-modal Perception for Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: However, existing methods either ignore the complexity of environments only fitting straight roads, or ignore the impact on surrounding vehicles during optimization phases, leading to weak environmental adaptability and incomplete optimization objectives. To address these limitations, we propose a parameterized decision-making framework with multi-modal perception based on deep reinforcement learning, called AUTO. |
YUYANG XIA et. al. | arxiv-cs.AI | 2023-12-19 |
| 449 | NeuroFlow: Development of Lightweight and Efficient Model Integration Scheduling Strategy for Autonomous Driving System Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper proposes a specialized autonomous driving system that takes into account the unique constraints and characteristics of automotive systems, aiming for innovative advancements in autonomous driving technology. |
Eunbin Seo; Gwanjun Shin; Eunho Lee; | arxiv-cs.RO | 2023-12-15 |
| 450 | Using The CARLA Simulator to Train A Deep Q Self-Driving Car to Control A Real-World Counterpart on A College Campus Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Autonomous vehicles (AV) provide many benefits to society. They provide a way for people with the inability to drive a way to travel on their own. While there has been significant … |
Joseph May; S. Poudel; S. Hamdan; Khem Poudel; J. Vargas; | 2023 IEEE International Conference on Big Data (BigData) | 2023-12-15 |
| 451 | A Physical Law Constrained Deep Learning Model for Vehicle Trajectory Prediction Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Vehicle trajectory prediction is crucial and indispensable for ensuring the safe and efficient operation of autonomous vehicles in complex traffic environments. The application of … |
Hanchu Li; Ziyi Liao; Yikang Rui; Linchao Li; Bin Ran; | IEEE Internet of Things Journal | 2023-12-15 |
| 452 | High-Speed Ramp Merging Behavior Decision for Autonomous Vehicles Based on Multiagent Reinforcement Learning Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: To improve the decision success rate of a multiagent reinforcement learning algorithm in merging high-speed ramps of autonomous vehicles, the independent proximal policy … |
XINFENG ZHANG et. al. | IEEE Internet of Things Journal | 2023-12-15 |
| 453 | Personalized Autonomous Driving with Large Language Models: Field Experiments Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we introduce an LLM-based framework, Talk2Drive, capable of translating natural verbal commands into executable controls and learning to satisfy personal preferences for safety, efficiency, and comfort with a proposed memory module. |
CAN CUI et. al. | arxiv-cs.AI | 2023-12-14 |
| 454 | DriveMLM: Aligning Multi-Modal Large Language Models with Behavioral Planning States for Autonomous Driving IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we delve into the potential of large language models (LLMs) in autonomous driving (AD). |
WENHAI WANG et. al. | arxiv-cs.CV | 2023-12-14 |
| 455 | Optimal Control of Autonomous Vehicles for Flow Smoothing in Mixed-Autonomy Traffic Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: This article studies the optimal control of autonomous vehicles over a given time horizon to smooth traffic. We model the dynamics of a mixed-autonomy platoon as a system of … |
ARWA ALANQARY et. al. | 2023 62nd IEEE Conference on Decision and Control (CDC) | 2023-12-13 |
| 456 | BAT: Behavior-Aware Human-Like Trajectory Prediction for Autonomous Driving IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: The ability to accurately predict the trajectory of surrounding vehicles is a critical hurdle to overcome on the journey to fully autonomous vehicles. To address this challenge, we pioneer a novel behavior-aware trajectory prediction model (BAT) that incorporates insights and findings from traffic psychology, human behavior, and decision-making. |
HAICHENG LIAO et. al. | arxiv-cs.RO | 2023-12-11 |
| 457 | Localizability Estimation for Autonomous Driving: A Deep Learning-Based Place Recognition Approach Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In recent years, research and development aimed at the societal implementation of autonomous driving have attracted increasing attention. Localization, which involves obtaining … |
Kazuto Matsumoto; Ehsan Javanmardi; Jin Nakazato; Manabu Tsukada; | 2023 Seventh IEEE International Conference on Robotic … | 2023-12-11 |
| 458 | Attribute Annotation and Bias Evaluation in Visual Datasets for Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We introduce an annotation methodology and a specialised annotation tool, both designed to annotate protected attributes of agents in visual datasets. |
David Fernández Llorca; Pedro Frau; Ignacio Parra; Rubén Izquierdo; Emilia Gómez; | arxiv-cs.CV | 2023-12-11 |
| 459 | Scalable Decentralized Cooperative Platoon Using Multi-Agent Deep Reinforcement Learning Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper introduces a vehicle platooning approach designed to enhance traffic flow and safety. |
Ahmed Abdelrahman; Omar M. Shehata; Yarah Basyoni; Elsayed I. Morgan; | arxiv-cs.RO | 2023-12-11 |
| 460 | Evaluation of Large Language Models for Decision Making in Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: However, quantitative research has not been conducted on how accurately different types of LLMs can handle these problems. In this study, we quantitatively evaluated these two abilities of LLMs in the context of autonomous driving. |
KOTARO TANAHASHI et. al. | arxiv-cs.CV | 2023-12-11 |
| 461 | Internet of Vehicles-Based Autonomous Vehicle Platooning Related Papers Related Patents Related Grants Related Venues Related Experts View |
Omkar Dokur; Srinivas Katkoori; | SN Computer Science | 2023-12-09 |
| 462 | Dynamic Adversarial Attacks on Autonomous Driving Systems Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This paper introduces an attacking mechanism to challenge the resilience of autonomous driving systems. |
Amirhosein Chahe; Chenan Wang; Abhishek Jeyapratap; Kaidi Xu; Lifeng Zhou; | arxiv-cs.RO | 2023-12-09 |
| 463 | An Autonomous Driving Model Integrated with BEV-V2X Perception, Fusion Prediction of Motion and Occupancy, and Driving Planning, in Complex Traffic Intersections Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: (BSM) data from multiple vehicles allows for the real-time perception and future state prediction. Therefore, this paper develops a comprehensive autonomous driving model that relies on BEV-V2X perception, Interacting Multiple model Unscented Kalman Filter (IMM-UKF)-based fusion prediction, and deep reinforcement learning (DRL)-based decision making and planning. |
FUKANG LI et. al. | arxiv-cs.RO | 2023-12-08 |
| 464 | Deep Dynamics: Vehicle Dynamics Modeling with A Physics-Constrained Neural Network for Autonomous Racing Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper introduces Deep Dynamics, a physics-constrained neural network (PCNN) for vehicle dynamics modeling of an autonomous racecar. |
John Chrosniak; Jingyun Ning; Madhur Behl; | arxiv-cs.RO | 2023-12-07 |
| 465 | Towards Knowledge-driven Autonomous Driving IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: By leveraging large language models, world models, neural rendering, and other advanced artificial intelligence techniques, these components collectively contribute to a more holistic, adaptive, and intelligent autonomous driving system. The paper systematically organizes and reviews previous research efforts in this area, and provides insights and guidance for future research and practical applications of autonomous driving. |
XIN LI et. al. | arxiv-cs.RO | 2023-12-07 |
| 466 | Human-Autonomy Teaming on Autonomous Vehicles with Large Language Model-Enabled Human Digital Twins Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The development of autonomous vehicles is dramatically reshaping the transportation landscape, bringing new challenges and opportunities in human-machine interaction. As … |
Can Cui; Yunsheng Ma; Xu Cao; Wenqian Ye; Ziran Wang; | 2023 IEEE/ACM Symposium on Edge Computing (SEC) | 2023-12-06 |
| 467 | Computing An Automotive Cybersecurity Maturity Level Assessment Programme Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Cybersecurity is key for the new and future vehicles that heavily rely on IT systems and depend on data exchange. These vehicles will bring countless new features and are … |
Patrick Grümer; Pedro Brandão; | Proceedings of the 7th ACM Computer Science in Cars … | 2023-12-05 |
| 468 | Multi-Sensor Object Detection System for Real-Time Inferencing in ADAS Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Advanced Driver Assistance Systems (ADAS) are designed to assist drivers in various driving scenarios, and the object detection system is a critical component of ADAS. This paper … |
Sai Rithvick Mandumula; Jungme Park; Ritwik Prasad Asolkar; Karthik Somashekar; | 2023 IEEE Symposium Series on Computational Intelligence … | 2023-12-05 |
| 469 | Cars As Social Agents (CarSA): A Perspective Shift in Human-Vehicle Interaction Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The rapid advancement of autonomous vehicle (AV) technology has opened up new possibilities and challenges in the domain of human–agent interaction. As AVs become increasingly … |
Franziska Babel; Philipp Hock; S. Thellman; Tom Ziemke; | Proceedings of the 11th International Conference on … | 2023-12-04 |
| 470 | Automated Speed and Lane Change Decision-making Model Using Support Vector Machine Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: One of the major obstacles that the auto industry must overcome is the rise of autonomous vehicles. The study of lane-changing is an important part of this problem. Previous … |
Sathisha G; C. K. Subbaraya; R. G K; | Int. J. Commun. Networks Inf. Secur. | 2023-12-04 |
| 471 | Exploring Adversarial Robustness of LiDAR-Camera Fusion Model in Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Our study assesses the adversarial robustness of LiDAR-camera fusion models in 3D object detection. We introduce an attack technique that, by simply adding a limited number of physically constrained adversarial points above a car, can make the car undetectable by the fusion model. |
Bo Yang; Xiaoyu Ji; Zizhi Jin; Yushi Cheng; Wenyuan Xu; | arxiv-cs.RO | 2023-12-03 |
| 472 | AV4EV: Open-Source Modular Autonomous Electric Vehicle Platform for Making Mobility Research Accessible Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: On the other hand, 1/10th-1/16th scaled-down vehicle platforms are more affordable but have limited similitude in performance and drivability. To address this issue, we present the design of a one-third-scale autonomous electric go-kart platform with open-source mechatronics design along with fully functional autonomous driving software. |
ZHIJIE QIAO et. al. | arxiv-cs.RO | 2023-12-01 |
| 473 | AutoRS: Environment-Dependent Real-Time Scheduling for End-to-End Autonomous Driving Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The rapid development of autonomous driving poses new research challenges for on-vehicle computing system. The execution time of autonomous driving tasks heavily depends on the … |
Jialiang Ma; Li Li; Chengzhong Xu; | IEEE Transactions on Parallel and Distributed Systems | 2023-12-01 |
| 474 | RobustStateNet: Robust Ego Vehicle State Estimation for Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts View |
Pragyan Dahal; Simone Mentasti; Luca Paparusso; S. Arrigoni; F. Braghin; | Robotics Auton. Syst. | 2023-12-01 |
| 475 | Probabilistic Game Theory and Stochastic Model Predictive Control-Based Decision Making and Motion Planning in Uncontrolled Intersections for Autonomous Driving Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: This paper presents a motion planner of autonomous vehicles for uncontrolled intersection driving. Uncertainty about the surrounding target vehicles is an important consideration … |
Yonghwan Jeong; | IEEE Transactions on Vehicular Technology | 2023-12-01 |
| 476 | Towards C-V2X Enabled Collaborative Autonomous Driving IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Intelligent vehicles, including autonomous vehicles and vehicles equipped with ADAS systems, are single-agent systems that navigate solely on the information collected by … |
Yuankai He; Baofu Wu; Zheng Dong; Jian Wan; Weisong Shi; | IEEE Transactions on Vehicular Technology | 2023-12-01 |
| 477 | An Online Learning Framework for Sensor Fault Diagnosis Analysis in Autonomous Cars Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: This paper proposes a novel data-driven technique, namely Online Learning for sensor Fault diagnosis Analysis (OLFA), to perform real-time fault analysis for autonomous cars. … |
XUYANG YAN et. al. | IEEE Transactions on Intelligent Transportation Systems | 2023-12-01 |
| 478 | Traffic Modeling Based on Data-Driven Method for Simulation Test of Autonomous Driving Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Traffic modeling is vitally important to the simulation test of autonomous driving, as on-road testing is not only tedious, inefficient, costly, and often unsafe. The fidelity of … |
Ruixue Zong; Weiwen Deng; Xuesong Bai; Ying Wang; Juan Ding; | IEEE Transactions on Intelligent Transportation Systems | 2023-12-01 |
| 479 | An Autonomous Vehicle Group Cooperation Model in An Urban Scene Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Formulating a cooperative autonomous vehicle group is challenging in an urban scene that has complex road networks and diverse disturbance. Existing methods of vehicle cluster … |
GUIYUAN YUAN et. al. | IEEE Transactions on Intelligent Transportation Systems | 2023-12-01 |
| 480 | Event-Triggered Robust Path Tracking Control Considering Roll Stability Under Network-Induced Delays for Autonomous Vehicles IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: This paper proposes a multi-input multi-output (MIMO) method for path tracking control of autonomous vehicles under network-induced delays while taking into account the roll … |
Fernando Viadero-Monasterio; Anh‐Tu Nguyen; Jimmy Lauber; M. J. L. Boada; B. L. Boada; | IEEE Transactions on Intelligent Transportation Systems | 2023-12-01 |
| 481 | Modeling The Effects of Autonomous Vehicles on Human Driver Car-Following Behaviors Using Inverse Reinforcement Learning IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The development of autonomous driving technology will lead to a transition period during which human-driven vehicles (HVs) will share the road with autonomous vehicles (AVs). … |
Xiao Wen; Sisi Jian; Dengbo He; | IEEE Transactions on Intelligent Transportation Systems | 2023-12-01 |
| 482 | DRMNet: A Multi-Task Detection Model Based on Image Processing for Autonomous Driving Scenarios Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: To improve the efficiency and accuracy of autonomous driving vehicles’ perception of the external environment, a multi-task detection model DRMNet (Dual-resolution Multi-task … |
Jiandong Zhao; Dikang Wu; Zhixin Yu; Ziyou Gao; | IEEE Transactions on Vehicular Technology | 2023-12-01 |
| 483 | CrossFuser: Multi-Modal Feature Fusion for End-to-End Autonomous Driving Under Unseen Weather Conditions IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Multi-modal fusion is a promising approach to boost the autonomous driving performance and has already received a large amount of attention. Meanwhile, to increase driving … |
Weishang Wu; Xiaoheng Deng; Ping Jiang; Shaohua Wan; Yuanxiong Guo; | IEEE Transactions on Intelligent Transportation Systems | 2023-12-01 |
| 484 | A Low-cost Framework for Decentralized Autonomous Intersection Management Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose a novel low-cost solution strategy where the vehicles use a harmony matrix to find the best possible combination of the cars to cross the intersection without any crashes. |
Rugved Katole; Arpita Sinha; | arxiv-cs.RO | 2023-11-29 |
| 485 | Residential Location Selection in First-Tier Cities in China Under Shared Autonomous Vehicle Conditions Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Users traveling by Shared Autonomous Vehicle (SAV) can make the most of their commute and reduce parking time and costs, while potential changes in residential location choices … |
Chen Guo; Y. Huo; | Proceedings of the 2023 5th International Conference on … | 2023-11-24 |
| 486 | Safety Assessment of Vehicle Characteristics Variations in Autonomous Driving Systems Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: To this end, in this paper, we propose a method, named SAFEVAR, to systematically find minimum variations to the original vehicle characteristics setting, which affect the safety of the ADS deployed on the vehicle. |
Qi Pan; Tiexin Wang; Paolo Arcaini; Tao Yue; Shaukat Ali; | arxiv-cs.SE | 2023-11-24 |
| 487 | Racing With ROS 2 A Navigation System for An Autonomous Formula Student Race Car Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: These offer new challenges to aspiring engineers, including the team at QUT Motorsport, but also raise the entry barrier due to the complexity of high-speed navigation and control. This paper presents an open-source solution using the Robot Operating System 2, specifically its open-source navigation stack, to address these challenges in autonomous Formula Student race cars. |
Alastair Bradford; Grant van Breda; Tobias Fischer; | arxiv-cs.RO | 2023-11-23 |
| 488 | An Agent-Based Discrete Event Simulation of Teleoperated Driving in Freight Transport Operations: The Fleet Sizing Problem Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: However, a trade-off exists between the teleoperator-to-vehicle ratio and the service level of teleoperation. This study designs a simulation framework to explore this trade-off generating multiple performance indicators as proxies for teleoperation service level. |
Bahman Madadi; Ali Nadi; Gonçalo Homem de Almeida Correia; Thierry Verduijn; Lóránt Tavasszy; | arxiv-cs.MA | 2023-11-23 |
| 489 | The Navigation Based on Hybrid A Star and TEB Algorithm Implemented in Obstacles Avoidance Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Taking driverless and autonomous navigation as an example, artificial intelligence has gradually entered people’s vision, and applications such as sweeping robots, rescue robots, … |
HONGZHANG ZHENG et. al. | 2023 29th International Conference on Mechatronics and … | 2023-11-21 |
| 490 | A Large-Scale Car Parts (LSCP) Dataset for Lightweight Fine-Grained Detection Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To alleviate the burden of manual annotation, we propose a novel semi-supervised auto-labeling method that leverages state-of-the-art pre-trained detectors. |
Wang Jie; Zhong Yilin; Cao Qianqian; | arxiv-cs.CV | 2023-11-20 |
| 491 | A Language Agent for Autonomous Driving IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we propose a fundamental paradigm shift from current pipelines, exploiting Large Language Models (LLMs) as a cognitive agent to integrate human-like intelligence into autonomous driving systems. |
Jiageng Mao; Junjie Ye; Yuxi Qian; Marco Pavone; Yue Wang; | arxiv-cs.CV | 2023-11-17 |
| 492 | Applications of Computer Vision in Autonomous Vehicles: Methods, Challenges and Future Directions Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper reviews publications on computer vision and autonomous driving that are published during the last ten years. |
Xingshuai Dong; Massimiliano L. Cappuccio; | arxiv-cs.CV | 2023-11-15 |
| 493 | TileMask: A Passive-Reflection-based Attack Against MmWave Radar Object Detection in Autonomous Driving Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In autonomous driving, millimeter wave (mmWave) radar has been widely adopted for object detection because of its robustness and reliability under various weather and lighting … |
YI ZHU et. al. | Proceedings of the 2023 ACM SIGSAC Conference on Computer … | 2023-11-15 |
| 494 | User-Centric Security and Privacy Threats in Connected Vehicles: A Threat Modeling Analysis Using STRIDE and LINDDUN Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The increasing equipment of cars with smart systems and their networking with other devices is leading to a growing network of connected vehicles. Connected cars are Internet of … |
BEÁTA STINGELOVÁ et. al. | 2023 IEEE Intl Conf on Dependable, Autonomic and Secure … | 2023-11-14 |
| 495 | Roadside LiDAR Assisted Cooperative Localization for Connected Autonomous Vehicles Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: When such maps are unavailable or lack sufficient features for 3D registration algorithms, localization accuracy diminishes, posing a risk to road safety. To address this, we proposed to use LiDAR-equipped roadside unit and Vehicle-to-Infrastructure (V2I) communication to accurately estimate the connected autonomous vehicle’s position and help the vehicle when its self-localization is not accurate enough. |
Yuze Jiang; Ehsan Javanmardi; Jin Nakazato; Manabu Tsukada; Hiroshi Esaki; | arxiv-cs.RO | 2023-11-14 |
| 496 | Quantized Distillation: Optimizing Driver Activity Recognition Models for Resource-Constrained Environments Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This paper introduces a lightweight framework for resource-efficient driver activity recognition. |
Calvin Tanama; Kunyu Peng; Zdravko Marinov; Rainer Stiefelhagen; Alina Roitberg; | arxiv-cs.CV | 2023-11-10 |
| 497 | On The Road with GPT-4V(ision): Early Explorations of Visual-Language Model on Autonomous Driving IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We explore the model’s abilities to understand and reason about driving scenes, make decisions, and ultimately act in the capacity of a driver. |
LICHENG WEN et. al. | arxiv-cs.CV | 2023-11-09 |
| 498 | Authority Transfer According to A Driver Intervention Intention Considering Coexistence of Communication Delay Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Recently, interest and research on autonomous driving technology have been actively conducted. However, proving the safety of autonomous vehicles and commercializing autonomous … |
Taeyoon Lim; Myeong-Hwan Hwang; Eugene Kim; Hyunrok Cha; | Comput. | 2023-11-08 |
| 499 | Cognitive Reinforcement Learning For Autonomous Driving Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Most existing reinforcement learning methods are combined with deep neural networks in autonomous driving. There is a well-known trouble named ‘black-box’ of deep neural networks, … |
Hao Qi; Enguang Hou; Guangmin Liu; Peijun Ye; | 2023 IEEE 3rd International Conference on Digital Twins and … | 2023-11-07 |
| 500 | What Makes A Fantastic Passenger-Car Driver in Urban Contexts? Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we sought to understand driving behaviors from the perspectives of both drivers and passengers. |
YUETENG YU et. al. | arxiv-cs.HC | 2023-11-07 |
| 501 | Tell Me About That Church: Exploring The Design and User Experience of In-Vehicle Multi-modal Intuitive Interface in The Context of Driving Scenario Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this research, we conducted a design workshop (N=6) to understand user’s needs and designers’ considerations on the in-vehicle multi-modal intuitive interface, based on which we implemented our design on both a simulator and a real autonomous vehicle using Wizard-of-Oz. |
Yueteng Yu; Yan Zhang; Gary Burnett; | arxiv-cs.HC | 2023-11-07 |
| 502 | Multi-LiDAR Localization and Mapping Pipeline for Urban Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present a novel sensor fusion-based pipeline for offline mapping and online localization based on LiDAR sensors. |
FLORIAN SAUERBECK et. al. | arxiv-cs.RO | 2023-11-03 |
| 503 | Resilient Countermeasures Against Cyber-Attacks on Self-Driving Car Architecture Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Self-driving cars, believed to be on track to become a seven trillion-dollar industry by 2050, are likely to be a popular mode of transportation in the near future, as the … |
J. M. QURASHI et. al. | IEEE Transactions on Intelligent Transportation Systems | 2023-11-01 |
| 504 | A Survey on Self-Evolving Autonomous Driving: A Perspective on Data Closed-Loop Technology Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Self evolution refers to the ability of a system to evolve autonomously towards a better performance, which is a potential trend for autonomous driving systems based on … |
Xincheng Li; Zhaoyi Wang; Yanjun Huang; Hong Chen; | IEEE Transactions on Intelligent Vehicles | 2023-11-01 |
| 505 | Adaptive Collision-Free Trajectory Tracking Control for String Stable Bidirectional Platoons IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Autonomous vehicle (AV) platoons, especially those with the bidirectional communication topology, have significant practical value, as they not only increase link capacity and … |
Shaohua Cui; Yongjie Xue; K. Gao; M. Lv; Bin Yu; | IEEE Transactions on Intelligent Transportation Systems | 2023-11-01 |
| 506 | SdoNet: Speed Odometry Network and Noise Adapter for Vehicle Integrated Navigation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The emerging applications of the Internet of Things (IoT), such as driverless cars, have an increasing need for precise vehicle positioning. Inertial navigation systems (INSs) … |
XUAN WANG et. al. | IEEE Internet of Things Journal | 2023-11-01 |
| 507 | Vehicle Stability Analysis By Zero Dynamics to Improve Control Performance Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Good stability performance is a prerequisite for the motion of vehicles controlled either by a human driver with advanced driver-assistance systems or by highly automated driving … |
XIAO HU et. al. | IEEE Transactions on Control Systems Technology | 2023-11-01 |
| 508 | A Distributed Learning Architecture for Semantic Communication in Autonomous Driving Networks for Task Offloading Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Semantic communication based on machine learning (ML) techniques emerged as a new transmission paradigm that can significantly improve spectrum efficiency. It looks promising for … |
Guhan Zheng; Qiang Ni; K. Navaie; H. Pervaiz; Charilaos Zarakovitis; | IEEE Communications Magazine | 2023-11-01 |
| 509 | Latency-Energy Tradeoff in Connected Autonomous Vehicles: A Deep Reinforcement Learning Scheme IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Vehicle Edge Computing (VEC)-assisted computational offloading brings cloud computing closer to user equipment (UEs) at the edge of the access network by delivering various … |
ISHAN BUDHIRAJA et. al. | IEEE Transactions on Intelligent Transportation Systems | 2023-11-01 |
| 510 | Vehicle Detection for Autonomous Driving: A Review of Algorithms and Datasets IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Nowadays, vehicles with a high level of automation are being driven everywhere. With the apparent success of autonomous driving technology, we keep working to achieve fully … |
Jules Karangwa; Jun Liu; Zixuan Zeng; | IEEE Transactions on Intelligent Transportation Systems | 2023-11-01 |
| 511 | Model-based Development for ROS 2-based Autonomous-driving Software Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Autonomous vehicles have attracted increasing research attention as a solution to various contemporary social problems. Current code-based development methods require time to … |
Takumi Onozawa; Hiroshi Fujimoto; Takuya Azumi; | 2023 IEEE 22nd International Conference on Trust, Security … | 2023-11-01 |
| 512 | PA3DNet: 3-D Vehicle Detection With Pseudo Shape Segmentation and Adaptive Camera-LiDAR Fusion IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: 3-D vehicle detection is a key perception technique in autonomous driving. In this article, a novel 3-D vehicle detection framework that fuses camera images and Light Detection … |
Meiling Wang; Lin Zhao; Yufeng Yue; | IEEE Transactions on Industrial Informatics | 2023-11-01 |
| 513 | Secure Operations of Connected and Autonomous Vehicles IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: With features of collaborative interaction and autonomous decision-making, connected and autonomous vehicles (CAVs) offer a viable solution for a sustainable and efficient future … |
JINPENG HAN et. al. | IEEE Transactions on Intelligent Vehicles | 2023-11-01 |
| 514 | Coordinated Motion Planning for Heterogeneous Autonomous Vehicles Based on Driving Behavior Primitives Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Heterogeneous autonomous vehicle (HAV) coordinated motion planning must guide each vehicle out of the conflict zone based on the differences in vehicle platform characteristics. … |
Haijie Guan; Boyang Wang; Jian-wei Gong; Huiyan Chen; | IEEE Transactions on Intelligent Transportation Systems | 2023-11-01 |
| 515 | Collaborative Decision-Making Using Spatiotemporal Graphs in Connected Autonomy Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose a novel collaborative decision-making method that efficiently and effectively integrates collaborators’ representations to control the ego vehicle in accident-prone scenarios. |
Peng Gao; Yu Shen; Ming C. Lin; | arxiv-cs.RO | 2023-10-31 |
| 516 | Improving RRT for Automated Parking in Real-world Scenarios Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Parking assistants in currently sold cars fail to park in more complex real-world scenarios and require the driver to move the car to an expected starting position before the assistant is activated. We overcome these limitations by proposing a planning algorithm consisting of two stages: (1) a geometric planner for maneuvering inside the parking slot and (2) a Rapidly-exploring Random Trees (RRT)-based planner that finds a collision-free path from the initial position to the slot entry. |
Jiri Vlasak; Michal Sojka; Zdeněk Hanzálek; | arxiv-cs.RO | 2023-10-31 |
| 517 | Robust Car-Following Control of Connected and Autonomous Vehicles: A Stochastic Model Predictive Control Approach Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Vehicle platooning has gained significant attention due to its potential to enhance road safety and efficiency. Leveraging stochastic optimization methods, this paper presents a … |
PEIYU ZHANG et. al. | Proceedings of the Int’l ACM Symposium on Design and … | 2023-10-30 |
| 518 | Mamdani Vs. Takagi–Sugeno Fuzzy Inference Systems in The Calibration of Continuous-Time Car-Following Models Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The transition to intelligent transportation systems (ITSs) is necessary to improve traffic flow in urban areas and reduce traffic congestion. Traffic modeling simplifies the … |
Madalin-Dorin Pop; D. Pescaru; M. Micea; | Sensors (Basel, Switzerland) | 2023-10-28 |
| 519 | Social Interaction-Aware Dynamical Models and Decision Making for Autonomous Vehicles Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This is a challenging task, as it requires the autonomous vehicle to be able to understand and predict the behaviour of human road users. In this literature review, the current state of IAAD research is surveyed in this work. |
LUCA CROSATO et. al. | arxiv-cs.HC | 2023-10-28 |
| 520 | Using Buckingham’s $π$ Theorem for Multi-System Learning Transfer: A Case-study with 3 Vehicles Sharing A Database Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper explores the potential of an approach that uses dimensionless numbers based on Buckingham’s $\pi$ theorem to improve the efficiency of data for learning models, with the goal of facilitating knowledge sharing between similar systems. |
William Therrien; Olivier Lecompte; Alexandre Girard; | arxiv-cs.RO | 2023-10-26 |
| 521 | EqDrive: Efficient Equivariant Motion Forecasting with Multi-Modality for Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In our research, we employ EqMotion, a leading equivariant particle, and human prediction model that also accounts for invariant agent interactions, for the task of multi-agent vehicle motion forecasting. |
Yuping Wang; Jier Chen; | arxiv-cs.RO | 2023-10-26 |
| 522 | Automotive Knowledge Base for Supporting Vehicle-SOC Analysts Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: With the introduction of more and more ECUs and components in vehicles, the automotive industry is moving towards increasingly connected and autonomous driving. This means not … |
Vita Santa Barletta; Danilo Caivano; Mirko De Vincentiis; Anibrata Pal; Francesco Volpe; | 2023 IEEE International Conference on Metrology for … | 2023-10-25 |
| 523 | Nighttime Driver Behavior Prediction Using Taillight Signal Recognition Via CNN-SVM Classifier Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This paper aims to enhance the ability to predict nighttime driving behavior by identifying taillights of both human-driven and autonomous vehicles. |
Amir Hossein Barshooi; Elmira Bagheri; | arxiv-cs.CV | 2023-10-25 |
| 524 | Driving Through The Concept Gridlock: Unraveling Explainability Bottlenecks in Automated Driving Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We propose a new approach using concept bottlenecks as visual features for control command predictions and explanations of user and vehicle behavior. |
JESSICA ECHTERHOFF et. al. | arxiv-cs.CV | 2023-10-25 |
| 525 | Detecting Subtle Cyberattacks on Adaptive Cruise Control Vehicles: A Machine Learning Approach Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We then investigate the impacts of these attacks at both the individual vehicle (micro) and traffic flow (macro) levels. A novel generative adversarial network (GAN)-based anomaly detection model is proposed for real-time identification of such attacks using vehicle trajectory data. |
Tianyi Li; Mingfeng Shang; Shian Wang; Raphael Stern; | arxiv-cs.MA | 2023-10-25 |
| 526 | Safe Navigation: Training Autonomous Vehicles Using Deep Reinforcement Learning in CARLA Summary Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Abstract: Autonomous vehicles have the potential to revolutionize transportation, but they must be able to navigate safely in traffic before they can be deployed on public roads. The goal … |
Ghadi Nehme; Tejas Y. Deo; | ArXiv | 2023-10-23 |
| 527 | LRIMa City: A Fog-Computing-Based Smart City with Integrated Self-Driving Cars Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The LRIMa city is a continuous, expandable and polyvalent project focused on IoT and IA solutions for research and learning. It serves as a testbed for exploring IoT … |
Jihene Rezgui; Enric Soldevila; Abderrazak Mokraoui; | 2023 International Symposium on Networks, Computers and … | 2023-10-23 |
| 528 | Target-Oriented Maneuver Decision for Autonomous Vehicle: A Rule-Aided Reinforcement Learning Framework Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To achieve the TLE task, we propose a ruLe-aided reINforcement lEarning framework, called LINE, which combines the advantages of RL-based policy and rule-based strategy, allowing the autonomous vehicle to make target-oriented maneuver decisions. |
XIMU ZENG et. al. | cikm | 2023-10-21 |
| 529 | Exploring Driving Behavior for Autonomous Vehicles Based on Gramian Angular Field Vision Transformer Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper presents the Gramian Angular Field Vision Transformer (GAF-ViT) model, designed to analyze AV driving behavior. |
JUNWEI YOU et. al. | arxiv-cs.CV | 2023-10-21 |
| 530 | The Safety Shell: An Architecture to Handle Functional Insufficiencies in Automated Driving Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we present a survey of existing methods that strive to prevent or handle FIs. |
C. A. J. Hanselaar; E. Silvas; A. Terechko; W. P. M. H. Heemels; | arxiv-cs.RO | 2023-10-20 |
| 531 | Classification of Safety Driver Attention During Autonomous Vehicle Operation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper introduces a dual-source approach integrating data from an infrared camera facing the vehicle operator and vehicle perception systems to produce a metric for driver alertness in order to promote and ensure safe operator behaviour. |
Santiago Gerling Konrad; Julie Stephany Berrio; Mao Shan; Favio Masson; Stewart Worrall; | arxiv-cs.RO | 2023-10-17 |
| 532 | Eco-Driving Control of Connected and Automated Vehicles Using Neural Network Based Rollout Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This work proposes a hierarchical multi-horizon optimization framework implemented via a neural network. |
Jacob Paugh; Zhaoxuan Zhu; Shobhit Gupta; Marcello Canova; Stephanie Stockar; | arxiv-cs.LG | 2023-10-16 |
| 533 | A Model Predictive Control Trajectory Tracking Lateral Controller for Autonomous Vehicles Combined with Deep Deterministic Policy Gradient Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: To solve the problem of trajectory tracking lateral control in autonomous driving technology, a model predictive control (MPC) controller trajectory tracking lateral control … |
Zhaokang Xie; Xiaoci Huang; Suyun Luo; Ruoping Zhang; Fang Ma; | Transactions of the Institute of Measurement and Control | 2023-10-13 |
| 534 | Receive, Reason, and React: Drive As You Say with Large Language Models in Autonomous Vehicles IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper proposes a novel framework that leverages Large Language Models (LLMs) to enhance the decision-making process in autonomous vehicles. |
Can Cui; Yunsheng Ma; Xu Cao; Wenqian Ye; Ziran Wang; | arxiv-cs.HC | 2023-10-12 |
| 535 | Smart Road Management System for Prioritized Autonomous Vehicles Under Vehicle-to-everything (V2X) Communication IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View |
A. Naeem; Abdul Majid Soomro; Hafiz Muhammad Saim; Hassaan Malik; | Multim. Tools Appl. | 2023-10-12 |
| 536 | Enhancing Nighttime Vehicle Detection Via Transformer-based Data Augmentation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In autonomous driving systems, vehicle detection technology typically relies on object detection models trained on driving image datasets. However, accurate vehicle detection … |
MIN YOUNG LIM et. al. | 2023 14th International Conference on Information and … | 2023-10-11 |
| 537 | Enhancing Traffic Sign Detection and Classification Through Multi-Task Learning Using CNNs Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Advanced driver assistance (ADA) systems are the technology behind self-driving cars. Still, other technologies play a crucial part in the advancing autonomous vehicles and … |
Shambhavi Patil; Om Nankar; Manish Goyal; S. Wagle; | 2023 IEEE International Carnahan Conference on Security … | 2023-10-11 |
| 538 | Iterative Closest Point of Object-based Point Clouds for Multi-View Extension Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Importance of LiDAR-based vehicle detection techniques for ensuring safe driving is increasing. However, LiDAR data from a single vehicle may have occlusions caused by obstacles, … |
Junhyeong Ryu; Christina Suyong Shin; Jeongyeup Paek; | 2023 14th International Conference on Information and … | 2023-10-11 |
| 539 | Autonomous Golf Ball Picker: The First in Singapore Golf Environment Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: This study develops an autonomous vehicle (AV) that demonstrate the capability to operationalize a self-driving buggy in a golf driving range environment. The autonomous golf ball … |
JOSEPH DE GUIA et. al. | 2023 IEEE 12th Global Conference on Consumer Electronics … | 2023-10-10 |
| 540 | Empirical Study and Signal Intensity Prediction for Cellular Vehicle-to-Everything (C-V2X) Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The development of autonomous driving has led to the proposal of vehicle-to-everything (V2X) to improve the reliability of autonomous driving systems through information sharing … |
YANG LU et. al. | 2023 IEEE 98th Vehicular Technology Conference … | 2023-10-10 |
| 541 | Support of Teleoperated Driving with 5G Networks Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Teleoperated driving (ToD) can support autonomous driving under complex or unexpected traffic scenarios that an autonomous vehicle may not understand or be able to handle. In ToD, … |
M. C. LUCAS-ESTAÑ et. al. | 2023 IEEE 98th Vehicular Technology Conference … | 2023-10-10 |
| 542 | Ethical V2X: Cooperative Driving As The Only Ethical Path to Multi-Vehicle Safety Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: We argue that an information exchange between vehicles via the vehicular communications is the foundation for ethical driving. In other words – autonomous vehicles must be … |
G. Sidorenko; Johan Thunberg; Alexey V. Vinel; | 2023 IEEE 98th Vehicular Technology Conference … | 2023-10-10 |
| 543 | An Anomaly Behavior Analysis Framework for Securing Autonomous Vehicle Perception Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This work proposes an Anomaly Behavior Analysis approach to detect a perception sensor attack against an autonomous vehicle. |
Murad Mehrab Abrar; Salim Hariri; | arxiv-cs.RO | 2023-10-08 |
| 544 | Indoor Localization for An Autonomous Model Car: A Marker-Based Multi-Sensor Fusion Framework Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper presents an integrated framework for indoor localization and experimental validation of an autonomous driving system based on an advanced driver-assistance system (ADAS) model car. |
Xibo Li; Shruti Patel; David Stronzek-Pfeifer; Christof Büskens; | arxiv-cs.RO | 2023-10-08 |
| 545 | Curve Trajectory Model for Human Preferred Path Planning of Automated Vehicles Related Papers Related Patents Related Grants Related Venues Related Experts View |