End-to-End Autonomous Driving

Overview

End-to-end autonomous driving studies systems that map camera, lidar, map, or vehicle-state inputs directly to planned trajectories or control, aiming to coordinate perception and action. Common approaches include imitation learning, bird’s-eye-view representations, vision-language-action models, diffusion planners, reinforcement learning, and world models that predict future scenes or agent interactions. Researchers evaluate both open-loop planning on datasets such as nuScenes and NAVSIM and closed-loop behavior in CARLA, Bench2Drive, and other simulators, with some work testing transfer to real vehicles. A central tension is that strong dataset scores may not translate to safe, recoverable behavior under long-tail events, domain shifts, sensor failures, or accumulated closed-loop errors.

Latest papers

CardsList

227 papers21 papers in the last four weeks, down 34% on the four weeks before. 0.1% of all new papers.

  1. Structured Representation Probing for Risk Anticipation in End-to-End Autonomous Driving

    Oct 27, 2026Jiawei Liang, Tianrui Lou, Le Yang +3Autonomous DrivingAutonomous Driving Safety Evaluation

  2. Closed-Loop Aware Planning via Imitation-Free Speed Scoring for End-to-End Autonomous Driving

    Oct 26, 2026Emad Aghajanzadeh, Thomas Schwarzfischer, Marc Kaufeld +8Autonomous Driving PlanningEnd-to-End Autonomous Driving

  3. Model-Aware Generation of Safety-Critical Scenes for Robust End-to-End Driving via Distilled Planner Surrogates

    Oct 26, 2026Khaled M. Seyam, Julian Wiederer, Samar Fathalah +2End-to-End Autonomous DrivingAutonomous Driving Scenario Generation

  4. TerraTransfer++: Demonstration-Free End-to-End Planner

    Oct 21, 2026Zikang Xiong, Weixin Li, Zhouchonghao Wu +6End-to-End Autonomous DrivingAutonomous Driving Planning

  5. Expand-and-Prune: Test-Time Candidate-Space Adaptation for End-to-End Autonomous Driving

    Oct 16, 2026Fabian Schmidt, Karol Fedurko, Markus Enzweiler +1Autonomous Driving PlanningEnd-to-End Autonomous Driving

  6. SafeDriveVLA: Navigation-Conditioned World Model Dreaming for Conflict-Aware End-to-End Autonomous Driving

    Oct 14, 2026Shaoyuan Xie, Zihan Zhang, Jingxuan Wang +6Autonomous DrivingEnd-to-End Autonomous Driving

  7. Beyond Planning: Differentiable Control-in-the-loop End-to-End Autonomous Driving

    Oct 13, 2026Zhidong Wang, Zirui Li, Zitong Shan +6End-to-End Autonomous DrivingData-Driven Control

  8. FlowSim: Rendering-Free Closed-Loop Simulation for Evaluating End-to-End Driving Systems

    Oct 13, 2026Hanfeng Wu, Alvaro Marcos-Ramiro, Michael Schmidt +1Autonomous Driving SimulationEnd-to-End Autonomous Driving

  9. AUGUstus: Autonomous Driving VLA Model with Unified Generation and Understanding

    Oct 12, 2026Yuqi Ye, Caigao Jiang, Zhuonan Wang +12NavSimVision-Language-Action Models

  10. ConDenseDrive: Knowledge-Dense, Token-Sparse Visual Encoder for End-to-End Autonomous Driving

    Oct 12, 2026Shengzhen Li, Yongkang Li, Hao Gao +5End-to-End Autonomous DrivingEfficient ViTs

  11. YOUDrive: Driving Style as a Composable Direction for End-to-End Autonomous Driving

    Oct 10, 2026Guantian Zheng, Lidong Yu, Tianyu Gao +3Autonomous DrivingAutonomous Driving Planning

  12. ManeuverFlow: Maneuver Hypothesis Generation with Future Evidence for Trajectory Evaluation and Refinement in End-to-End Autonomous Driving

    Oct 9, 2026Yuhao Wei, Yong Chen, Chen Yang +7Autonomous Driving PlanningTrajectory Generation

  13. FPD-Drive: Future Policy Distillation for End-to-End Autonomous Driving

    Oct 9, 2026Li-Heng Chen, Qifeng Chen, Chengwei Wu +4End-to-End Autonomous DrivingAutonomous Driving Planning

  14. SDPAD: A Fully Spike-Driven Pipeline for End-to-End Autonomous Driving

    Oct 8, 2026Chengjun Zhang, Yuhao Zhang, Jie Yang +1Autonomous Driving PlanningEnd-to-End Autonomous Driving

  15. PlanWAM: Planning-Shaped Future Representations for End-to-End Autonomous Driving

    Oct 8, 2026Jinchang Xu, Hongda Yu, Fengwei Dong +9End-to-End Autonomous DrivingWorld Model-Based Planning

  16. Do Better Visual Representations Always Lead to Better End-to-End Autonomous Driving?

    Oct 7, 2026Zihao Zhang, Haochen Tian, Tianyu Li +5End-to-End Autonomous DrivingRepresentation Alignment

  17. Beyond Waypoint Regression: Query-Based Cost Learning over Reachable Ego Futures for End-to-End Driving

    Oct 6, 2026Ahmed Abouelazm, Rupert Polley, Qingyuan Zhang +4Trajectory GenerationEnd-to-End Autonomous Driving

  18. Controllable and Photorealistic Pedestrian Risky Motion Generation for End-to-End Driving Safety Evaluation

    Oct 5, 2026Siyuan Liu, Miao Li, Haibao Yu +4Pedestrian Behavior ModelingEnd-to-End Autonomous Driving

  19. End-to-End Learning vs. Modular Architectures: Comparative Insights into Autonomous Driving Systems

    Oct 1, 2026Kartik B. KapseEnd-to-End Autonomous DrivingAutonomous Driving

  20. A Survey on End-to-End Autonomous Driving Training from the Perspectives of Data, Strategy, and Platform

    Oct 1, 2026Chengkai Xu, Yiming Cui, Jiaqi Liu +7End-to-End Autonomous Driving

  21. Diffusion-2BC: Hybrid Diffusion and Regression Training for Offline Behavior Cloning in Autonomous Driving

    Sep 29, 2026Bruno Maciel Machado, Eric Aislan AntoneloEnd-to-End Autonomous DrivingDiffusion Policy

  22. V2X-WAM: A Cooperative World Action Model for End-to-End Autonomous Driving

    Sep 29, 2026Junwei You, Weizhe Tang, Can Wang +6End-to-End Autonomous DrivingAction-Conditioned World Models

  23. RoXDrive: Closed-Loop Reinforcement Learning for End-to-End Autonomous Driving via Action-Faithful Rollouts

    Sep 29, 2026Hongbin Lin, Chaoda Zheng, Yiming Yang +11End-to-End Autonomous DrivingAction-Conditioned World Models

  24. ReDrive: Shaping Representations with World Modeling for End-to-End Driving

    Sep 27, 2026Yueting Zhu, Shaoyu Chen, Yuehao Song +4World Model LearningEnd-to-End Autonomous Driving

  25. Guiding End-to-End Driving Models with Endpoint-Constrained Trajectory Optimization

    Sep 25, 2026Brayden Zhang, Mahsa Golchoubian, Igor Gilitschenski +2End-to-End Autonomous DrivingTrajectory Optimization

  26. S2Planner: Multi-Scale Semantic Planner for End-to-End Autonomous Driving

    Sep 24, 2026Zhaowei Lu, Liguo Zhou, Yujie Guo +2End-to-End Autonomous DrivingAutonomous Driving Planning

  27. Sim-to-Real Aware End-to-End Learning Environment for Micromobility

    Sep 24, 2026Shouma Amano, Takuya AzumiEnd-to-End Autonomous DrivingSim-to-Real Transfer

  28. Taming an End-to-End Autonomous Driving Policy for Urban Navigation of Quadruped Robots

    Sep 23, 2026Joochan Kim, Chanuk Yang, Tackgeun You +2Robot NavigationQuadruped Robot Navigation