{"total":52,"rows":[{"id":"2405.17398","title":"Vista: A Generalizable Driving World Model with High Fidelity and Versatile Controllability","created":"2024-05-27","cited_by_count":347,"area":"wm"},{"id":"2406.03877","title":"Bench2Drive: Towards Multi-Ability Benchmarking of Closed-Loop End-To-End Autonomous Driving","created":"2024-06-06","cited_by_count":252,"area":"driving"},{"id":"2503.09594","title":"SimLingo: Vision-Only Closed-Loop Autonomous Driving with Language-Action Alignment","created":"2025-03-12","cited_by_count":150,"area":"driving"},{"id":"2503.07656","title":"DriveTransformer: Unified Transformer for Scalable End-to-End Autonomous Driving","created":"2025-03-07","cited_by_count":126,"area":"driving"},{"id":"2405.03520","title":"Is Sora a World Simulator? A Comprehensive Survey on General World Models and Beyond","created":"2024-05-06","cited_by_count":111,"area":"wm"},{"id":"2403.02622","title":"World Models for Autonomous Driving: An Initial Survey","created":"2024-03-05","cited_by_count":80,"area":"wm"},{"id":"2406.10165","title":"CarLLaVA: Vision language models for camera-only closed-loop driving","created":"2024-06-14","cited_by_count":57,"area":"mllm"},{"id":"2505.16394","title":"Raw2Drive: Reinforcement Learning with Aligned World Models for End-to-End Autonomous Driving (in CARLA v2)","created":"2025-05-22","cited_by_count":47,"area":"wm"},{"id":"2506.09981","title":"ReSim: Reliable World Simulation for Autonomous Driving","created":"2025-06-11","cited_by_count":44,"area":"wm"},{"id":"2505.15111","title":"iPad: Iterative Proposal-centric End-to-End Autonomous Driving","created":"2025-05-21","cited_by_count":42,"area":"driving"},{"id":"2503.12030","title":"Hydra-NeXt: Robust Closed-Loop Driving with Open-Loop Training","created":"2025-03-15","cited_by_count":39,"area":"driving"},{"id":"2412.09602","title":"Hidden Biases of End-to-End Driving Datasets","created":"2024-12-12","cited_by_count":30,"area":"driving"},{"id":"2502.10498","title":"The Role of World Models in Shaping Autonomous Driving: A Comprehensive Survey","created":"2025-02-14","cited_by_count":29,"area":"wm"},{"id":"2410.10738","title":"DrivingDojo Dataset: Advancing Interactive and Knowledge-Enriched Driving World Model","created":"2024-10-14","cited_by_count":25,"area":"wm"},{"id":"2412.14689","title":"How to Synthesize Text Data without Model Collapse?","created":"2024-12-19","cited_by_count":25,"area":"synth"},{"id":"2501.13072","title":"AdaWM: Adaptive World Model based Planning for Autonomous Driving","created":"2025-01-22","cited_by_count":24,"area":"wm"},{"id":"2509.23589","title":"BridgeDrive: Diffusion Bridge Policy for Closed-Loop Trajectory Planning in Autonomous Driving","created":"2025-09-28","cited_by_count":18,"area":"diffusion"},{"id":"2403.02877","title":"ActiveAD: Planning-Oriented Active Learning for End-to-End Autonomous Driving","created":"2024-03-05","cited_by_count":16,"area":"driving"},{"id":"2411.02914","title":"Exploring the Interplay Between Video Generation and World Models in Autonomous Driving: A Survey","created":"2024-11-05","cited_by_count":14,"area":"wm"},{"id":"2405.09111","title":"CarDreamer: Open-Source Learning Platform for World Model based Autonomous Driving","created":"2024-05-15","cited_by_count":13,"area":"wm"},{"id":"2503.02143","title":"Four Principles for Physically Interpretable World Models","created":"2025-03-04","cited_by_count":10,"area":"wm"},{"id":"2408.06832","title":"FlatFusion: Delving into Details of Sparse Transformer-based Camera-LiDAR Fusion for Autonomous Driving","created":"2024-08-13","cited_by_count":9,"area":null},{"id":"2503.03957","title":"Enhancing Autonomous Driving Safety with Collision Scenario Integration","created":"2025-03-05","cited_by_count":9,"area":"driving"},{"id":"2506.07725","title":"ETA: Efficiency through Thinking Ahead, A Dual Approach to Self-Driving with Large Models","created":"2025-06-09","cited_by_count":9,"area":null},{"id":"2510.05865","title":"The Safety Challenge of World Models for Embodied AI Agents: A Review","created":"2025-10-07","cited_by_count":6,"area":"wm"},{"id":"2410.08616","title":"Dual-AEB: Synergizing Rule-Based and Multimodal Large Language Models for Effective Emergency Braking","created":"2024-10-11","cited_by_count":5,"area":"mllm"},{"id":"2411.10171","title":"Imagine-2-Drive: Leveraging High-Fidelity World Models via Multi-Modal Diffusion Policies","created":"2024-11-15","cited_by_count":4,"area":"wm"},{"id":"2505.15863","title":"Generative AI for Autonomous Driving: A Review","created":"2025-05-21","cited_by_count":3,"area":null},{"id":"2603.09086","title":"Latent World Models for Automated Driving: A Unified Taxonomy, Evaluation Framework, and Open Challenges","created":"2026-03-10","cited_by_count":3,"area":"wm"},{"id":"2410.02253","title":"From Imitation to Exploration: End-to-end Autonomous Driving based on World Model","created":"2024-10-03","cited_by_count":2,"area":"wm"},{"id":"2503.05573","title":"InDRiVE: Intrinsic Disagreement based Reinforcement for Vehicle Exploration through Curiosity Driven Generalized World Model","created":"2025-03-07","cited_by_count":2,"area":"wm"},{"id":"2506.08149","title":"Ego-centric Learning of Communicative World Models for Autonomous Driving","created":"2025-06-09","cited_by_count":2,"area":"wm"},{"id":"2507.15266","title":"VLM-UDMC: VLM-Enhanced Unified Decision-Making and Motion Control for Urban Autonomous Driving","created":"2025-07-21","cited_by_count":2,"area":"driving"},{"id":"2512.04279","title":"Driving Beyond Privilege: Distilling Dense-Reward Knowledge into Sparse-Reward Policies","created":"2025-12-03","cited_by_count":2,"area":"wm"},{"id":"2502.09923","title":"Self-Consistent Model-based Adaptation for Visual Reinforcement Learning","created":"2025-02-14","cited_by_count":1,"area":"deeprl"},{"id":"2507.05251","title":"Action Space Reduction Strategies for Reinforcement Learning in Autonomous Driving","created":"2025-07-07","cited_by_count":1,"area":"driving"},{"id":"2508.06074","title":"ME$^3$-BEV: Mamba-Enhanced Deep Reinforcement Learning for End-to-End Autonomous Driving with BEV-Perception","created":"2025-08-08","cited_by_count":1,"area":"driving"},{"id":"2508.10567","title":"SpaRC-AD: A Baseline for Radar-Camera Fusion in End-to-End Autonomous Driving","created":"2025-08-14","cited_by_count":1,"area":"driving"},{"id":"2511.09032","title":"Argus: Resilience-Oriented Safety Assurance Framework for End-to-End ADSs","created":"2025-11-12","cited_by_count":1,"area":"driving"},{"id":"2607.06516","title":"Point as Skeleton: Accumulated Point Cloud Enhanced Autoregressive Generation for Closed-Loop Autonomous Driving Simulation","created":"2026-07-07","cited_by_count":1,"area":"wm"},{"id":"2607.11964","title":"LIDAR-AD: A Decoder-Free Latent-Interaction Dreamer with Action-Residual Chains for Autonomous Driving","created":"2026-07-12","cited_by_count":1,"area":"wm"},{"id":"2406.14415","title":"Vectorized Representation Dreamer (VRD): Dreaming-Assisted Multi-Agent Motion-Forecasting","created":"2024-06-20","cited_by_count":0,"area":null},{"id":"2512.02417","title":"Vehicle Dynamics Embedded World Models for Autonomous Driving","created":"2025-12-02","cited_by_count":0,"area":"wm"},{"id":"2604.12857","title":"Artificial Intelligence for Modeling and Simulation of Mixed Automated and Human Traffic","created":"2026-04-14","cited_by_count":0,"area":null},{"id":"2605.10177","title":"MTA-RL: Robust Urban Driving via Multi-modal Transformer-based 3D Affordances and Reinforcement Learning","created":"2026-05-11","cited_by_count":0,"area":"driving"},{"id":"2606.02105","title":"Multimodal Action Diffusion for Robust End-to-End Autonomous Driving","created":"2026-06-01","cited_by_count":0,"area":"diffusion"},{"id":"2607.13704","title":"nuTruck: Benchmarking Autonomous Driving Planning for Distributed Electric-drive Trucks","created":"2026-07-15","cited_by_count":0,"area":"driving"},{"id":"2608.31029","title":"Driving on Memory","created":"2026-08-31","cited_by_count":0,"area":"driving"},{"id":"2609.27747","title":"Less Language, More Latents: Annotation-Efficient VLAs for Driving","created":"2026-09-23","cited_by_count":0,"area":"vla"},{"id":"2609.38463","title":"TrafficSignBench: Rule-Centric Closed-Loop Evaluation of Traffic-Sign Compliance in Autonomous Driving","created":"2026-09-29","cited_by_count":0,"area":"driving"},{"id":"2610.03473","title":"UniDynamics: Event-RGB Fusion for Unified Future 4D Dynamic Scene Generation","created":"2026-10-02","cited_by_count":0,"area":null},{"id":"2610.11483","title":"BridgeGuard: Explicit Safety Drift for Diffusion-based Autonomous Driving","created":"2026-10-08","cited_by_count":0,"area":"driving"}],"next_cursor":null}