{"total":78,"rows":[{"id":"2303.12077","title":"VAD: Vectorized Scene Representation for Efficient Autonomous Driving","created":"2023-03-21","cited_by_count":622,"area":"driving"},{"id":"2402.13243","title":"VADv2: End-to-End Vectorized Autonomous Driving via Probabilistic Planning","created":"2024-02-20","cited_by_count":289,"area":"driving"},{"id":"2310.01957","title":"Driving with LLMs: Fusing Object-Level Vector Modality for Explainable Autonomous Driving","created":"2023-10-03","cited_by_count":232,"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":"2501.15564","title":"Diffusion-Based Planning for Autonomous Driving with Flexible Guidance","created":"2025-01-26","cited_by_count":141,"area":"driving"},{"id":"2112.05077","title":"Generating Useful Accident-Prone Driving Scenarios via a Learned Traffic Prior","created":"2021-12-09","cited_by_count":139,"area":"driving"},{"id":"2203.11934","title":"Learning from All Vehicles","created":"2022-03-22","cited_by_count":135,"area":"driving"},{"id":"2109.13333","title":"Urban Driver: Learning to Drive from Real-world Demonstrations Using Policy Gradients","created":"2021-09-27","cited_by_count":122,"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":"2109.13602","title":"SafetyNet: Safe planning for real-world self-driving vehicles using machine-learned policies","created":"2021-09-28","cited_by_count":69,"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":"2404.07762","title":"NeuroNCAP: Photorealistic Closed-loop Safety Testing for Autonomous Driving","created":"2024-04-11","cited_by_count":62,"area":"driving"},{"id":"2404.06892","title":"SparseAD: Sparse Query-Centric Paradigm for Efficient End-to-End Autonomous Driving","created":"2024-04-10","cited_by_count":47,"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":"2503.08612","title":"HiP-AD: Hierarchical and Multi-Granularity Planning with Deformable Attention for Autonomous Driving in a Single Decoder","created":"2025-03-11","cited_by_count":35,"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":"2502.19908","title":"CarPlanner: Consistent Auto-regressive Trajectory Planning for Large-scale Reinforcement Learning in Autonomous Driving","created":"2025-02-27","cited_by_count":34,"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":"2211.02131","title":"Safe Real-World Autonomous Driving by Learning to Predict and Plan with a Mixture of Experts","created":"2022-11-03","cited_by_count":29,"area":"driving"},{"id":"2412.14415","title":"DriveGPT: Scaling Autoregressive Behavior Models for Driving","created":"2024-12-19","cited_by_count":29,"area":"driving"},{"id":"2208.12263","title":"Augmenting Reinforcement Learning with Transformer-based Scene Representation Learning for Decision-making of Autonomous Driving","created":"2022-08-24","cited_by_count":24,"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":"2106.05966","title":"Learning by Watching","created":"2021-06-10","cited_by_count":22,"area":"driving"},{"id":"2207.00788","title":"Long-Tail Prediction Uncertainty Aware Trajectory Planning for Self-driving Vehicles","created":"2022-07-02","cited_by_count":22,"area":"driving"},{"id":"2207.00186","title":"MMFN: Multi-Modal-Fusion-Net for End-to-End Driving","created":"2022-07-01","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":"2404.04869","title":"Prompting Multi-Modal Tokens to Enhance End-to-End Autonomous Driving Imitation Learning with LLMs","created":"2024-04-07","cited_by_count":13,"area":"driving"},{"id":"2305.02649","title":"CCIL: Context-conditioned imitation learning for urban driving","created":"2023-05-04","cited_by_count":12,"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":"2312.11935","title":"Parameterized Decision-making with Multi-modal Perception for Autonomous Driving","created":"2023-12-19","cited_by_count":7,"area":"driving"},{"id":"2511.19914","title":"CoC-VLA: Delving into Adversarial Domain Transfer for Explainable Autonomous Driving via Chain-of-Causality Visual-Language-Action Model","created":"2025-11-25","cited_by_count":7,"area":"driving"},{"id":"2402.12666","title":"Pre-trained Transformer-Enabled Strategies with Human-Guided Fine-Tuning for End-to-end Navigation of Autonomous Vehicles","created":"2024-02-20","cited_by_count":6,"area":"driving"},{"id":"2410.01608","title":"Computational Teaching for Driving via Multi-Task Imitation Learning","created":"2024-10-02","cited_by_count":6,"area":"driving"},{"id":"2109.06514","title":"Vision Transformer for Learning Driving Policies in Complex Multi-Agent Environments","created":"2021-09-14","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":"2507.14456","title":"GEMINUS: Dual-aware Global and Scene-Adaptive Mixture-of-Experts for End-to-End Autonomous Driving","created":"2025-07-19","cited_by_count":5,"area":"driving"},{"id":"2512.06865","title":"Spatial Retrieval Augmented Autonomous Driving","created":"2025-12-07","cited_by_count":5,"area":"driving"},{"id":"2403.11304","title":"Pioneering SE(2)-Equivariant Trajectory Planning for Automated Driving","created":"2024-03-17","cited_by_count":4,"area":"driving"},{"id":"2406.01544","title":"Validity Learning on Failures: Mitigating the Distribution Shift in Autonomous Vehicle Planning","created":"2024-06-03","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":"2508.04642","title":"RoboTron-Sim: Improving Real-World Driving via Simulated Hard-Case","created":"2025-08-06","cited_by_count":4,"area":"driving"},{"id":"2509.02754","title":"Do LLM Modules Generalize? A Study on Motion Generation for Autonomous Driving","created":"2025-09-02","cited_by_count":4,"area":"driving"},{"id":"2509.17080","title":"CoPlanner: An Interactive Motion Planner with Contingency-Aware Diffusion for Autonomous Driving","created":"2025-09-21","cited_by_count":4,"area":"driving"},{"id":"2510.15505","title":"Perfect Prediction or Plenty of Proposals? What Matters Most in Planning for Autonomous Driving","created":"2025-10-17","cited_by_count":4,"area":"driving"},{"id":"2206.01488","title":"GIN: Graph-based Interaction-aware Constraint Policy Optimization for Autonomous Driving","created":"2022-06-03","cited_by_count":3,"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":"2405.07573","title":"MaskFuser: Masked Fusion of Joint Multi-Modal Tokenization for End-to-End Autonomous Driving","created":"2024-05-13","cited_by_count":3,"area":"driving"},{"id":"2408.00374","title":"Conformal Trajectory Prediction with Multi-View Data Integration in Cooperative Driving","created":"2024-08-01","cited_by_count":3,"area":"driving"},{"id":"2411.04653","title":"IGDrivSim: A Benchmark for the Imitation Gap in Autonomous Driving","created":"2024-11-07","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":"2512.00021","title":"Foundation Models for Trajectory Planning in Autonomous Driving: A Review of Progress and Open Challenges","created":"2025-10-31","cited_by_count":3,"area":"driving"},{"id":"2308.01180","title":"Interpretable End-to-End Driving Model for Implicit Scene Understanding","created":"2023-08-02","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":"2606.31830","title":"PriorEye: Geospatial Visual Priors for End-to-End Autonomous Driving","created":"2026-06-30","cited_by_count":2,"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":"2310.03303","title":"A Two-stage Based Social Preference Recognition in Multi-Agent Autonomous Driving System","created":"2023-10-05","cited_by_count":1,"area":"driving"},{"id":"2406.04451","title":"RiskMap: A Unified Driving Context Representation for Autonomous Motion Planning in Urban Driving Environment","created":"2024-06-06","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":"2406.08855","title":"Trajectory Planning for Autonomous Driving in Unstructured Scenarios Based on Graph Neural Network and Numerical Optimization","created":"2024-06-13","cited_by_count":1,"area":"driving"},{"id":"2410.15987","title":"Analyzing Closed-loop Training Techniques for Realistic Traffic Agent Models in Autonomous Highway Driving Simulations","created":"2024-10-21","cited_by_count":1,"area":"driving"},{"id":"2509.13926","title":"MAP: End-to-End Autonomous Driving with Map-Assisted Planning","created":"2025-09-17","cited_by_count":1,"area":"driving"},{"id":"2512.03936","title":"Driving is a Game: Combining Planning and Prediction with Bayesian Iterative Best Response","created":"2025-12-03","cited_by_count":1,"area":"driving"},{"id":"2512.05812","title":"Toward Efficient and Robust Behavior Models for Multi-Agent Driving Simulation","created":"2025-12-05","cited_by_count":1,"area":"driving"},{"id":"2107.08690","title":"ObserveNet Control: A Vision-Dynamics Learning Approach to Predictive Control in Autonomous Vehicles","created":"2021-07-19","cited_by_count":0,"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":"2404.18464","title":"MRIC: Model-Based Reinforcement-Imitation Learning with Mixture-of-Codebooks for Autonomous Driving Simulation","created":"2024-04-29","cited_by_count":0,"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":"2503.01650","title":"CAPS: Context-Aware Priority Sampling for Enhanced Imitation Learning in Autonomous Driving","created":"2025-03-03","cited_by_count":0,"area":"driving"},{"id":"2506.16336","title":"Goal-conditioned Hierarchical Reinforcement Learning for Sample-efficient and Safe Autonomous Driving at Intersections","created":"2025-06-19","cited_by_count":0,"area":"driving"},{"id":"2512.13094","title":"Sequence of Expert: Boosting Imitation Planners for Autonomous Driving through Temporal Alternation","created":"2025-12-15","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":"2607.04812","title":"TGRIP: A Text-Guided Approach to Vehicle Instance Prediction in Autonomous Driving","created":"2026-07-06","cited_by_count":0,"area":"driving"},{"id":"2608.12198","title":"Learning-Based Behavior Planning for Automated Driving: Real-World Integration and Deployment","created":"2026-08-12","cited_by_count":0,"area":"driving"},{"id":"2608.15573","title":"Not All History Helps: Velocity-Aware Selective Memory for Long-Horizon End-to-End Autonomous Driving","created":"2026-08-16","cited_by_count":0,"area":"driving"},{"id":"2608.28656","title":"RedLight-VLA: Models for traffic-rule grounding and behavioral emphasis in driving policies","created":"2026-08-21","cited_by_count":0,"area":"driving"}],"next_cursor":null}