{"total":42,"rows":[{"id":"2207.07601","title":"ST-P3: End-to-end Vision-based Autonomous Driving via Spatial-Temporal Feature Learning","created":"2022-07-15","cited_by_count":368,"area":"driving"},{"id":"2305.10430","title":"Rethinking the Open-Loop Evaluation of End-to-End Autonomous Driving in nuScenes","created":"2023-05-17","cited_by_count":191,"area":"driving"},{"id":"2303.05760","title":"GameFormer: Game-theoretic Modeling and Learning of Transformer-based Interactive Prediction and Planning for Autonomous Driving","created":"2023-03-10","cited_by_count":141,"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":"2307.04370","title":"Recent Advancements in End-to-End Autonomous Driving using Deep Learning: A Survey","created":"2023-07-10","cited_by_count":103,"area":"driving"},{"id":"2305.10507","title":"ReasonNet: End-to-End Driving with Temporal and Global Reasoning","created":"2023-05-17","cited_by_count":93,"area":"driving"},{"id":"2207.10422","title":"Differentiable Integrated Motion Prediction and Planning with Learnable Cost Function for Autonomous Driving","created":"2022-07-21","cited_by_count":73,"area":"driving"},{"id":"2308.01006","title":"FusionAD: Multi-modality Fusion for Prediction and Planning Tasks of Autonomous Driving","created":"2023-08-02","cited_by_count":67,"area":"driving"},{"id":"2310.12432","title":"CAT: Closed-loop Adversarial Training for Safe End-to-End Driving","created":"2023-10-19","cited_by_count":54,"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":"2212.08787","title":"Conditional Predictive Behavior Planning with Inverse Reinforcement Learning for Human-like Autonomous Driving","created":"2022-12-17","cited_by_count":34,"area":"driving"},{"id":"2308.01471","title":"Implicit Occupancy Flow Fields for Perception and Prediction in Self-Driving","created":"2023-08-02","cited_by_count":30,"area":"driving"},{"id":"2203.16792","title":"TrajGen: Generating Realistic and Diverse Trajectories with Reactive and Feasible Agent Behaviors for Autonomous Driving","created":"2022-03-31","cited_by_count":23,"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":"2501.15850","title":"LLM-attacker: Enhancing Closed-loop Adversarial Scenario Generation for Autonomous Driving with Large Language Models","created":"2025-01-27","cited_by_count":19,"area":"driving"},{"id":"2503.10434","title":"Learning Personalized Driving Styles via Reinforcement Learning from Human Feedback","created":"2025-03-13","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":"2403.11057","title":"Large Language Models Powered Context-aware Motion Prediction in Autonomous Driving","created":"2024-03-17","cited_by_count":13,"area":"driving"},{"id":"2409.10320","title":"SEAL: Towards Safe Autonomous Driving via Skill-Enabled Adversary Learning for Closed-Loop Scenario Generation","created":"2024-09-16","cited_by_count":10,"area":"driving"},{"id":"2305.03303","title":"Occupancy Prediction-Guided Neural Planner for Autonomous Driving","created":"2023-05-05","cited_by_count":8,"area":"driving"},{"id":"2504.12667","title":"Fully Unified Motion Planning for End-to-End Autonomous Driving","created":"2025-04-17","cited_by_count":6,"area":"driving"},{"id":"2601.12672","title":"VILTA: A VLM-in-the-Loop Adversary for Enhancing Driving Policy Robustness","created":"2026-01-19","cited_by_count":6,"area":"driving"},{"id":"2210.06106","title":"DiPA: Probabilistic Multi-Modal Interactive Prediction for Autonomous Driving","created":"2022-10-12","cited_by_count":5,"area":"driving"},{"id":"2502.07631","title":"Divide and Merge: Motion and Semantic Learning in End-to-End Autonomous Driving","created":"2025-02-11","cited_by_count":5,"area":"driving"},{"id":"2507.05754","title":"LeAD: The LLM Enhanced Planning System Converged with End-to-end Autonomous Driving","created":"2025-07-08","cited_by_count":5,"area":"driving"},{"id":"2404.12867","title":"FipTR: A Simple yet Effective Transformer Framework for Future Instance Prediction in Autonomous Driving","created":"2024-04-19","cited_by_count":4,"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":"2606.19370","title":"Human-like autonomy emerges from self-play and a pinch of human data","created":"2026-06-11","cited_by_count":4,"area":"driving"},{"id":"2603.15221","title":"ADV-0: Closed-Loop Min-Max Adversarial Training for Long-Tail Robustness in Autonomous Driving","created":"2026-03-16","cited_by_count":3,"area":"driving"},{"id":"2311.02850","title":"IR-STP: Enhancing Autonomous Driving with Interaction Reasoning in Spatio-Temporal Planning","created":"2023-11-06","cited_by_count":2,"area":"driving"},{"id":"2508.01778","title":"DiffSemanticFusion: Semantic Raster BEV Fusion for Autonomous Driving via Online HD Map Diffusion","created":"2025-08-03","cited_by_count":2,"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":"2604.11734","title":"SCORP: Scene-Consistent Multi-agent Diffusion Planning with Stable Online Reinforcement Post-Training for Cooperative Driving","created":"2026-04-13","cited_by_count":2,"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":"2309.13485","title":"Interpretable and Flexible Target-Conditioned Neural Planners For Autonomous Vehicles","created":"2023-09-23","cited_by_count":1,"area":"driving"},{"id":"2406.08349","title":"Utilizing Navigation Paths to Generate Target Points for Enhanced End-to-End Autonomous Driving Planning","created":"2024-06-12","cited_by_count":1,"area":"driving"},{"id":"2411.17253","title":"LHPF: Look back the History and Plan for the Future in Autonomous Driving","created":"2024-11-26","cited_by_count":1,"area":"driving"},{"id":"2512.16055","title":"Driving in Corner Case: A Real-World Adversarial Closed-Loop Evaluation Platform for End-to-End Autonomous Driving","created":"2025-12-18","cited_by_count":1,"area":"driving"},{"id":"2304.12821","title":"Zero-shot Transfer Learning of Driving Policy via Socially Adversarial Traffic Flow","created":"2023-04-25","cited_by_count":0,"area":"driving"},{"id":"2603.16196","title":"PanguMotion: Continuous Driving Motion Forecasting with Pangu Transformers","created":"2026-03-17","cited_by_count":0,"area":"driving"},{"id":"2606.25224","title":"Spatio-Temporal Retrieval-based Priors for Adaptive Computational Teaching in Driving","created":"2026-06-23","cited_by_count":0,"area":"driving"},{"id":"2608.15230","title":"PersonaDrive: Controllable Trajectory Prediction with Multi-Dimensional Driving Personas","created":"2026-08-15","cited_by_count":0,"area":"driving"}],"next_cursor":null}