Image de couverture de livre

Drive in Corridors: Enhancing the Safety of End-to-end Autonomous Driving via Corridor Learning and Planning

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Zhang, Zhiwei, Yang, Ruichen, Wu, Ke, Xu, Zijun, Liu, Jingchu, Mu, Lisen, Gan, Zhongxue, Ding, Wenchao
Format:	Preprint
Publié:	2025
Sujets:	Robotics
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Planning by Simulation: Motion Planning with Learning-based Parallel Scenario Prediction for Autonomous Driving
par: Niu, Tian, et autres
Publié: (2024)

Unveiling the Surprising Efficacy of Navigation Understanding in End-to-End Autonomous Driving
par: Hua, Zhihua, et autres
Publié: (2026)

Frenet Corridor Planner: An Optimal Local Path Planning Framework for Autonomous Driving
par: Tariq, Faizan M., et autres
Publié: (2025)

Enhance Planning with Physics-informed Safety Controller for End-to-end Autonomous Driving
par: Zhou, Hang, et autres
Publié: (2024)

Learning A Unified Risk Map for Autonomous Driving in Partially Observable Environments
par: Jia, Jie, et autres
Publié: (2026)

HGS-Planner: Hierarchical Planning Framework for Active Scene Reconstruction Using 3D Gaussian Splatting
par: Xu, Zijun, et autres
Publié: (2024)

CMoE: Contrastive Mixture of Experts for Motion Control and Terrain Adaptation of Humanoid Robots
par: Ma, Shihao, et autres
Publié: (2026)

OccLLaMA: An Occupancy-Language-Action Generative World Model for Autonomous Driving
par: Wei, Julong, et autres
Publié: (2024)

LeAD: The LLM Enhanced Planning System Converged with End-to-end Autonomous Driving
par: Zhang, Yuhang, et autres
Publié: (2025)

AlignDrive: Aligned Lateral-Longitudinal Planning for End-to-End Autonomous Driving
par: Wu, Yanhao, et autres
Publié: (2026)

Learning Occlusion-aware Decision-making from Agent Interaction via Active Perception
par: Jia, Jie, et autres
Publié: (2024)

PPAD: Iterative Interactions of Prediction and Planning for End-to-end Autonomous Driving
par: Chen, Zhili, et autres
Publié: (2023)

DriveDPO: Policy Learning via Safety DPO For End-to-End Autonomous Driving
par: Shang, Shuyao, et autres
Publié: (2025)

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

DriveSafer: End-to-End Autonomous Driving with Safety Guidance
par: Sural, Shounak, et autres
Publié: (2026)

DriveGPT4: Interpretable End-to-end Autonomous Driving via Large Language Model
par: Xu, Zhenhua, et autres
Publié: (2023)

PIE: Perception and Interaction Enhanced End-to-End Motion Planning for Autonomous Driving
par: Yuan, Chengran, et autres
Publié: (2025)

End-to-end Autonomous Driving: Challenges and Frontiers
par: Chen, Li, et autres
Publié: (2023)

Exposure Conscious Path Planning for Equal Exposure Corridors
par: Hamzezadeh, Eugene T., et autres
Publié: (2024)

Acetrans: An Autonomous Corridor-Based and Efficient UAV Suspended Transport System
par: Lu, Weiyan, et autres
Publié: (2025)

GNN-DIP: Neural Corridor Selection for Decomposition-Based Motion Planning
par: Xie, Peng, et autres
Publié: (2026)

Don't Shake the Wheel: Momentum-Aware Planning in End-to-End Autonomous Driving
par: Song, Ziying, et autres
Publié: (2025)

DRAMA: An Efficient End-to-end Motion Planner for Autonomous Driving with Mamba
par: Yuan, Chengran, et autres
Publié: (2024)

Risk Map As Middleware: Towards Interpretable Cooperative End-to-end Autonomous Driving for Risk-Aware Planning
par: Lei, Mingyue, et autres
Publié: (2025)

ProDrive: Proactive Planning for Autonomous Driving via Ego-Environment Co-Evolution
par: Fu, Chuyao, et autres
Publié: (2026)

Utilizing Navigation Paths to Generate Target Points for Enhanced End-to-End Autonomous Driving Planning
par: Shen, Yuanhua, et autres
Publié: (2024)

FocalAD: Local Motion Planning for End-to-End Autonomous Driving
par: Sun, Bin, et autres
Publié: (2025)

Model-Based Policy Adaptation for Closed-Loop End-to-End Autonomous Driving
par: Lin, Haohong, et autres
Publié: (2025)

Occlusion-Aware Contingency Safety-Critical Planning for Autonomous Driving
par: Zheng, Lei, et autres
Publié: (2025)

VDRive: Leveraging Reinforced VLA and Diffusion Policy for End-to-end Autonomous Driving
par: Guo, Ziang, et autres
Publié: (2025)

TrajDiff: End-to-end Autonomous Driving without Perception Annotation
par: Gui, Xingtai, et autres
Publié: (2025)

Safety Implications of Explainable Artificial Intelligence in End-to-End Autonomous Driving
par: Atakishiyev, Shahin, et autres
Publié: (2024)

Efficient Fusion and Task Guided Embedding for End-to-end Autonomous Driving
par: Guo, Yipin, et autres
Publié: (2024)

Differentiable Collision-Free Parametric Corridors
par: Arrizabalaga, Jon, et autres
Publié: (2024)

ZTRS: Zero-Imitation End-to-end Autonomous Driving with Trajectory Scoring
par: Li, Zhenxin, et autres
Publié: (2025)

Reinforced Refinement with Self-Aware Expansion for End-to-End Autonomous Driving
par: Liu, Haochen, et autres
Publié: (2025)

ARTEMIS: Autoregressive End-to-End Trajectory Planning with Mixture of Experts for Autonomous Driving
par: Feng, Renju, et autres
Publié: (2025)

ActiveAD: Planning-Oriented Active Learning for End-to-End Autonomous Driving
par: Lu, Han, et autres
Publié: (2024)

Prompting Multi-Modal Tokens to Enhance End-to-End Autonomous Driving Imitation Learning with LLMs
par: Duan, Yiqun, et autres
Publié: (2024)

VADv2: End-to-End Vectorized Autonomous Driving via Probabilistic Planning
par: Jiang, Bo, et autres
Publié: (2024)