{"total":16,"rows":[{"id":"2507.17596","title":"PRIX: Learning to Plan from Raw Pixels for End-to-End Autonomous Driving","created":"2025-07-23","cited_by_count":16,"area":"driving"},{"id":"2604.00813","title":"DVGT-2: Vision-Geometry-Action Model for Autonomous Driving at Scale","created":"2026-04-01","cited_by_count":13,"area":"driving"},{"id":"2506.11234","title":"Poutine: Vision-Language-Trajectory Pre-Training and Reinforcement Learning Post-Training Enable Robust End-to-End Autonomous Driving","created":"2025-06-12","cited_by_count":11,"area":"driving"},{"id":"2506.10145","title":"RoCA: Robust Cross-Domain End-to-End Autonomous Driving","created":"2025-06-11","cited_by_count":8,"area":"driving"},{"id":"2509.15968","title":"CoReVLA: A Dual-Stage End-to-End Autonomous Driving Framework for Long-Tail Scenarios via Collect-and-Refine","created":"2025-09-19","cited_by_count":7,"area":"driving"},{"id":"2506.12251","title":"Efficient Multi-Camera Tokenization with Triplanes for End-to-End Driving","created":"2025-06-13","cited_by_count":6,"area":"driving"},{"id":"2505.21581","title":"CogAD: Cognitive-Hierarchy Guided End-to-End Autonomous Driving","created":"2025-05-27","cited_by_count":4,"area":"driving"},{"id":"2604.03581","title":"HAD: Combining Hierarchical Diffusion with Metric-Decoupled RL for End-to-End Driving","created":"2026-04-04","cited_by_count":4,"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":"2511.12755","title":"Prompt-Driven Domain Adaptation for End-to-End Autonomous Driving via In-Context RL","created":"2025-11-16","cited_by_count":1,"area":"driving"},{"id":"2512.24712","title":"LSRE: Latent Semantic Rule Encoding for Real-Time Semantic Risk Detection in Autonomous Driving","created":"2025-12-31","cited_by_count":1,"area":"driving"},{"id":"2601.05806","title":"Modular Autonomy with Conversational Interaction: An LLM-driven Framework for Decision Making in Autonomous Driving","created":"2026-01-09","cited_by_count":1,"area":"driving"},{"id":"2605.20082","title":"VL-DPO: Vision-Language-Guided Finetuning for Preference-Aligned Autonomous Driving","created":"2026-05-19","cited_by_count":1,"area":"driving"},{"id":"2604.22560","title":"Cross-Stage Coherence in Hierarchical Driving VQA: Explicit Baselines and Learned Gated Context Projectors","created":"2026-04-24","cited_by_count":0,"area":"driving"},{"id":"2610.00926","title":"A Survey on End-to-End Autonomous Driving Training from the Perspectives of Data, Strategy, and Platform","created":"2026-10-01","cited_by_count":0,"area":"driving"}],"next_cursor":null}