{"total":54,"rows":[{"id":"2306.16927","title":"End-to-end Autonomous Driving: Challenges and Frontiers","created":"2023-06-29","cited_by_count":490,"area":"driving"},{"id":"2403.04133","title":"Towards learning-based planning:The nuPlan benchmark for real-world autonomous driving","created":"2024-03-07","cited_by_count":104,"area":"driving"},{"id":"2402.05746","title":"Editable Scene Simulation for Autonomous Driving via Collaborative LLM-Agents","created":"2024-02-08","cited_by_count":91,"area":"driving"},{"id":"2408.10845","title":"CoVLA: Comprehensive Vision-Language-Action Dataset for Autonomous Driving","created":"2024-08-19","cited_by_count":77,"area":"driving"},{"id":"2212.08710","title":"JFP: Joint Future Prediction with Interactive Multi-Agent Modeling for Autonomous Driving","created":"2022-12-16","cited_by_count":40,"area":"driving"},{"id":"2311.08100","title":"PPAD: Iterative Interactions of Prediction and Planning for End-to-end Autonomous Driving","created":"2023-11-14","cited_by_count":33,"area":"driving"},{"id":"2303.01212","title":"Grid-Centric Traffic Scenario Perception for Autonomous Driving: A Comprehensive Review","created":"2023-03-02","cited_by_count":25,"area":"driving"},{"id":"2401.08045","title":"Forging Vision Foundation Models for Autonomous Driving: Challenges, Methodologies, and Opportunities","created":"2024-01-16","cited_by_count":24,"area":"driving"},{"id":"2307.07527","title":"Machine Learning for Autonomous Vehicle's Trajectory Prediction: A comprehensive survey, Challenges, and Future Research Directions","created":"2023-07-12","cited_by_count":23,"area":"driving"},{"id":"2204.10320","title":"SelfD: Self-Learning Large-Scale Driving Policies From the Web","created":"2022-04-21","cited_by_count":18,"area":"driving"},{"id":"2204.13319","title":"Control-Aware Prediction Objectives for Autonomous Driving","created":"2022-04-28","cited_by_count":18,"area":"driving"},{"id":"2206.03004","title":"Driving in Real Life with Inverse Reinforcement Learning","created":"2022-06-07","cited_by_count":18,"area":"driving"},{"id":"2401.12888","title":"Data-Centric Evolution in Autonomous Driving: A Comprehensive Survey of Big Data System, Data Mining, and Closed-Loop Technologies","created":"2024-01-23","cited_by_count":17,"area":"driving"},{"id":"2504.04338","title":"Data Scaling Laws for End-to-End Autonomous Driving","created":"2025-04-06","cited_by_count":15,"area":"driving"},{"id":"2207.07895","title":"JPerceiver: Joint Perception Network for Depth, Pose and Layout Estimation in Driving Scenes","created":"2022-07-16","cited_by_count":11,"area":"driving"},{"id":"2308.12779","title":"On Offline Evaluation of 3D Object Detection for Autonomous Driving","created":"2023-08-24","cited_by_count":11,"area":"driving"},{"id":"2508.21824","title":"DriveQA: Passing the Driving Knowledge Test","created":"2025-08-29","cited_by_count":10,"area":"driving"},{"id":"2406.18360","title":"XLD: A Cross-Lane Dataset for Benchmarking Novel Driving View Synthesis","created":"2024-06-26","cited_by_count":9,"area":"driving"},{"id":"2503.14537","title":"Learning-based 3D Reconstruction in Autonomous Driving: A Comprehensive Survey","created":"2025-03-17","cited_by_count":9,"area":"driving"},{"id":"2507.21610","title":"Research Challenges and Progress in the End-to-End V2X Cooperative Autonomous Driving Competition","created":"2025-07-29","cited_by_count":9,"area":"driving"},{"id":"2605.31572","title":"nuReasoning: A Reasoning-Centric Dataset and Benchmark for Long-Tail Autonomous Driving","created":"2026-05-29","cited_by_count":9,"area":"driving"},{"id":"2407.15843","title":"CarFormer: Self-Driving with Learned Object-Centric Representations","created":"2024-07-22","cited_by_count":8,"area":"driving"},{"id":"2203.16851","title":"Towards Driving-Oriented Metric for Lane Detection Models","created":"2022-03-31","cited_by_count":7,"area":"driving"},{"id":"2312.11935","title":"Parameterized Decision-making with Multi-modal Perception for Autonomous Driving","created":"2023-12-19","cited_by_count":7,"area":"driving"},{"id":"2409.13144","title":"Autonomous Driving at Unsignalized Intersections: A Review of Decision-Making Challenges and Reinforcement Learning-Based Solutions","created":"2024-09-20","cited_by_count":7,"area":"driving"},{"id":"2211.11579","title":"Dynamic Conditional Imitation Learning for Autonomous Driving","created":"2022-11-17","cited_by_count":6,"area":"driving"},{"id":"2305.17181","title":"Selective Communication for Cooperative Perception in End-to-End Autonomous Driving","created":"2023-05-26","cited_by_count":5,"area":"driving"},{"id":"2309.15685","title":"Improving Autonomous Driving Safety with POP: A Framework for Accurate Partially Observed Trajectory Predictions","created":"2023-09-27","cited_by_count":5,"area":"driving"},{"id":"2409.10484","title":"XLM for Autonomous Driving Systems: A Comprehensive Review","created":"2024-09-16","cited_by_count":5,"area":"driving"},{"id":"2509.23922","title":"DriveE2E: Closed-Loop Benchmark for End-to-End Autonomous Driving through Real-to-Simulation","created":"2025-09-28","cited_by_count":5,"area":"driving"},{"id":"2511.08214","title":"Prioritizing Perception-Guided Self-Supervision: A New Paradigm for Causal Modeling in End-to-End Autonomous Driving","created":"2025-11-11","cited_by_count":5,"area":"driving"},{"id":"2603.02413","title":"TruckDrive: Long-Range Autonomous Highway Driving Dataset","created":"2026-03-02","cited_by_count":5,"area":"driving"},{"id":"2605.10034","title":"Beyond Self-Play and Scale: A Behavior Benchmark for Generalization in Autonomous Driving","created":"2026-05-11","cited_by_count":5,"area":"driving"},{"id":"2504.13785","title":"Learning Through Retrospection: Improving Trajectory Prediction for Automated Driving with Error Feedback","created":"2025-04-18","cited_by_count":4,"area":"driving"},{"id":"2309.03387","title":"Efficient Baselines for Motion Prediction in Autonomous Driving","created":"2023-09-06","cited_by_count":3,"area":"driving"},{"id":"2409.14196","title":"Adversarial and Reactive Traffic Entities for Behavior-Realistic Driving Simulation: A Review","created":"2024-09-21","cited_by_count":3,"area":"driving"},{"id":"2509.10570","title":"Large Foundation Models for Trajectory Prediction in Autonomous Driving: A Comprehensive Survey","created":"2025-09-11","cited_by_count":3,"area":"driving"},{"id":"2605.08084","title":"123D: Unifying Multi-Modal Autonomous Driving Data at Scale","created":"2026-05-08","cited_by_count":3,"area":"driving"},{"id":"2605.18059","title":"Bench2Drive-Robust: Benchmarking Closed-Loop Autonomous Driving under Deployment Perturbations","created":"2026-05-18","cited_by_count":3,"area":"driving"},{"id":"2607.07103","title":"A knowledge-augmented dataset of high-risk driving scenarios with LLM annotations for autonomous driving","created":"2026-07-08","cited_by_count":3,"area":"driving"},{"id":"2509.23641","title":"From Static to Dynamic: a Survey of Topology-Aware Perception in Autonomous Driving","created":"2025-09-28","cited_by_count":2,"area":"driving"},{"id":"2109.01288","title":"Iterative Imitation Policy Improvement for Interactive Autonomous Driving","created":"2021-09-03","cited_by_count":1,"area":"driving"},{"id":"2210.02174","title":"CW-ERM: Improving Autonomous Driving Planning with Closed-loop Weighted Empirical Risk Minimization","created":"2022-10-05","cited_by_count":1,"area":"driving"},{"id":"2211.01634","title":"P4P: Conflict-Aware Motion Prediction for Planning in Autonomous Driving","created":"2022-11-03","cited_by_count":1,"area":"driving"},{"id":"2409.02871","title":"Hybrid Imitation-Learning Motion Planner for Urban Driving","created":"2024-09-04","cited_by_count":1,"area":"driving"},{"id":"2511.22187","title":"HybridWorldSim: A Scalable and Controllable High-fidelity Simulator for Autonomous Driving","created":"2025-11-27","cited_by_count":1,"area":"driving"},{"id":"2410.22752","title":"SoftCTRL: Soft conservative KL-control of Transformer Reinforcement Learning for Autonomous Driving","created":"2024-10-30","cited_by_count":0,"area":"driving"},{"id":"2504.20004","title":"Socially-Aware Autonomous Driving: Inferring Yielding Intentions for Safer Interactions","created":"2025-04-28","cited_by_count":0,"area":"driving"},{"id":"2603.17714","title":"From Virtual Environments to Real-World Trials: Emerging Trends in Autonomous Driving","created":"2026-03-18","cited_by_count":0,"area":"driving"},{"id":"2604.08031","title":"Open-Ended Instruction Realization with LLM-Enabled Multi-Planner Scheduling in Autonomous Vehicles","created":"2026-04-09","cited_by_count":0,"area":"driving"},{"id":"2606.02641","title":"CARVE: Certified Affordable Repair of Vetoed Maneuvers via Envelopes for Interactive Driving","created":"2026-05-31","cited_by_count":0,"area":"driving"},{"id":"2606.07366","title":"Dash2Sim: Closed-Loop Driving Simulation from in-the-wild Dashcam Videos","created":"2026-06-05","cited_by_count":0,"area":"driving"},{"id":"2606.31106","title":"What Probing Reveals about Autonomous Driving: Linking Internal Prediction Errors to Ego Planning","created":"2026-06-30","cited_by_count":0,"area":"driving"},{"id":"2608.29005","title":"A Degradation-Tolerance Benchmark for Camera-Only End-to-End Driving","created":"2026-08-29","cited_by_count":0,"area":"driving"}],"next_cursor":null}