{"total":17,"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":"2510.08562","title":"ResAD: Normalized Residual Trajectory Modeling for End-to-End Autonomous Driving","created":"2025-10-09","cited_by_count":14,"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":"2512.09864","title":"UniUGP: Unifying Understanding, Generation, and Planing For End-to-end Autonomous Driving","created":"2025-12-10","cited_by_count":10,"area":"driving"},{"id":"2606.07170","title":"Test-Time Trajectory Optimization for Autonomous Driving","created":"2026-06-05","cited_by_count":7,"area":"driving"},{"id":"2509.14303","title":"FlowDrive: Energy Flow Field for End-to-End Autonomous Driving","created":"2025-09-17","cited_by_count":4,"area":"driving"},{"id":"2603.13842","title":"Fine-tuning is Not Enough: A Parallel Framework for Collaborative Imitation and Reinforcement Learning in End-to-end Autonomous Driving","created":"2026-03-14","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":"2510.17148","title":"DiffVLA++: Bridging Cognitive Reasoning and End-to-End Driving through Metric-Guided Alignment","created":"2025-10-20","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":"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":"2603.07686","title":"UniUncer: Unified Dynamic Static Uncertainty for End to End Driving","created":"2026-03-08","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":"2603.16013","title":"Safety Case Patterns for VLA-based driving systems: Insights from SimLingo","created":"2026-03-16","cited_by_count":0,"area":"driving"},{"id":"2607.23511","title":"MOJITO: Modal Joint Learning for Unified End-to-End Autonomous Driving","created":"2026-07-26","cited_by_count":0,"area":"driving"},{"id":"2608.18035","title":"Plug-and-Play Traffic Element Awareness for End-to-End Autonomous Driving","created":"2026-08-18","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}