Image de couverture de livre

Advanced Longitudinal Control and Collision Avoidance for High-Risk Edge Cases in Autonomous Driving

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Chen, Dianwei, Gong, Yaobang, Yang, Xianfeng
Format:	Preprint
Publié:	2025
Sujets:	Robotics Artificial Intelligence
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Deep Reinforcement Learning for Advanced Longitudinal Control and Collision Avoidance in High-Risk Driving Scenarios
par: Chen, Dianwei, et autres
Publié: (2024)

Learning-based Autonomous Oversteer Control and Collision Avoidance
par: Lee, Seokjun, et autres
Publié: (2025)

INSIGHT: Enhancing Autonomous Driving Safety through Vision-Language Models on Context-Aware Hazard Detection and Edge Case Evaluation
par: Chen, Dianwei, et autres
Publié: (2025)

Application of LLM Guided Reinforcement Learning in Formation Control with Collision Avoidance
par: Yao, Chenhao, et autres
Publié: (2025)

Improvement of Collision Avoidance in Cut-In Maneuvers Using Time-to-Collision Metrics
par: Raiyn, Jamal
Publié: (2025)

STCLocker: Deadlock Avoidance Testing for Autonomous Driving Systems
par: Cheng, Mingfei, et autres
Publié: (2025)

Edge-Based Multimodal Sensor Data Fusion with Vision Language Models (VLMs) for Real-time Autonomous Vehicle Accident Avoidance
par: Yang, Fengze, et autres
Publié: (2025)

Edge-Cloud Collaborative Motion Planning for Autonomous Driving with Large Language Models
par: Chen, Jiao, et autres
Publié: (2024)

LDP: A Local Diffusion Planner for Efficient Robot Navigation and Collision Avoidance
par: Yu, Wenhao, et autres
Publié: (2024)

3CSim: CARLA Corner Case Simulation for Control Assessment in Autonomous Driving
par: Čávojský, Matúš, et autres
Publié: (2024)

CAPE: Context-Aware Diffusion Policy Via Proximal Mode Expansion for Collision Avoidance
par: Yang, Rui Heng, et autres
Publié: (2025)

A Safe and Efficient Self-evolving Algorithm for Decision-making and Control of Autonomous Driving Systems
par: Yang, Shuo, et autres
Publié: (2024)

Multi-Robot Task Allocation for Homogeneous Tasks with Collision Avoidance via Spatial Clustering
par: Shit, Rathin Chandra, et autres
Publié: (2025)

Driving Through Uncertainty: Risk-Averse Control with LLM Commonsense for Autonomous Driving under Perception Deficits
par: Hu, Yuting, et autres
Publié: (2025)

Integrating End-to-End and Modular Driving Approaches for Online Corner Case Detection in Autonomous Driving
par: Kaljavesi, Gemb, et autres
Publié: (2024)

Multi-Timescale Hierarchical Reinforcement Learning for Unified Behavior and Control of Autonomous Driving
par: Jin, Guizhe, et autres
Publié: (2025)

LSRE: Latent Semantic Rule Encoding for Real-Time Semantic Risk Detection in Autonomous Driving
par: Cheng, Qian, et autres
Publié: (2025)

Flow Matching-Based Autonomous Driving Planning with Advanced Interactive Behavior Modeling
par: Tan, Tianyi, et autres
Publié: (2025)

Collision Avoidance and Navigation for a Quadrotor Swarm Using End-to-end Deep Reinforcement Learning
par: Huang, Zhehui, et autres
Publié: (2023)

Safety2Drive: Safety-Critical Scenario Benchmark for the Evaluation of Autonomous Driving
par: Li, Jingzheng, et autres
Publié: (2025)

Balancing Progress and Safety: A Novel Risk-Aware Objective for RL in Autonomous Driving
par: Abouelazm, Ahmed, et autres
Publié: (2025)

"Why This Avoidance Maneuver?" Contrastive Explanations in Human-Supervised Maritime Autonomous Navigation
par: Jose, Joel, et autres
Publié: (2026)

Aircraft Collision Avoidance Systems: Technological Challenges and Solutions on the Path to Regulatory Acceptance
par: Katz, Sydney M., et autres
Publié: (2025)

SimpleVSF: VLM-Scoring Fusion for Trajectory Prediction of End-to-End Autonomous Driving
par: Zheng, Peiru, et autres
Publié: (2025)

Robot Navigation with Entity-Based Collision Avoidance using Deep Reinforcement Learning
par: Kolomeytsev, Yury, et autres
Publié: (2024)

Is Your VLM for Autonomous Driving Safety-Ready? A Comprehensive Benchmark for Evaluating External and In-Cabin Risks
par: Meng, Xianhui, et autres
Publié: (2025)

SARAD: LLM-Based Safety-Aware Hybrid Reinforcement Learning with Collision Prediction for Autonomous Driving
par: Wu, Kangyu, et autres
Publié: (2026)

FlowDrive: Energy Flow Field for End-to-End Autonomous Driving
par: Jiang, Hao, et autres
Publié: (2025)

A Survey on Approximate Edge AI for Energy Efficient Autonomous Driving Services
par: Katare, Dewant, et autres
Publié: (2023)

Learning to Model Diverse Driving Behaviors in Highly Interactive Autonomous Driving Scenarios with Multi-Agent Reinforcement Learning
par: Weiwei, Liu, et autres
Publié: (2024)

Fusing Driver Perceived and Physical Risk for Safety Critical Scenario Screening in Autonomous Driving
par: Xiong, Chen, et autres
Publié: (2026)

Collision- and Reachability-Aware Multi-Robot Control with Grounded LLM Planners
par: Ji, Jiabao, et autres
Publié: (2025)

Explainable AI for Ship Collision Avoidance: Decoding Decision-Making Processes and Behavioral Intentions
par: Yoshioka, Hitoshi, et autres
Publié: (2024)

AppleVLM: End-to-end Autonomous Driving with Advanced Perception and Planning-Enhanced Vision-Language Models
par: Han, Yuxuan, et autres
Publié: (2026)

Fuzzy-RRT for Obstacle Avoidance in a 2-DOF Semi-Autonomous Surgical Robotic Arm
par: Shankar, Kaaustaaub, et autres
Publié: (2025)

ExpertAD: Enhancing Autonomous Driving Systems with Mixture of Experts
par: Jiang, Haowen, et autres
Publié: (2025)

TeLL-Drive: Enhancing Autonomous Driving with Teacher LLM-Guided Deep Reinforcement Learning
par: Xu, Chengkai, et autres
Publié: (2025)

An End-to-end Flight Control Network for High-speed UAV Obstacle Avoidance based on Event-Depth Fusion
par: Shang, Dikai, et autres
Publié: (2026)

Exploring the Potential of World Models for Anomaly Detection in Autonomous Driving
par: Bogdoll, Daniel, et autres
Publié: (2023)

Dynamically Local-Enhancement Planner for Large-Scale Autonomous Driving
par: Deng, Nanshan, et autres
Publié: (2025)