{"total":26,"rows":[{"id":"2311.16038","title":"OccWorld: Learning a 3D Occupancy World Model for Autonomous Driving","created":"2023-11-27","cited_by_count":233,"area":"wm"},{"id":"2402.11502","title":"GenAD: Generative End-to-End Autonomous Driving","created":"2024-02-18","cited_by_count":225,"area":"wm"},{"id":"2406.08481","title":"Enhancing End-to-End Autonomous Driving with Latent World Model","created":"2024-06-12","cited_by_count":166,"area":"wm"},{"id":"2312.17655","title":"Visual Point Cloud Forecasting enables Scalable Autonomous Driving","created":"2023-12-29","cited_by_count":99,"area":"wm"},{"id":"2409.03272","title":"OccLLaMA: An Occupancy-Language-Action Generative World Model for Autonomous Driving","created":"2024-09-05","cited_by_count":83,"area":"wm"},{"id":"2302.13130","title":"Point Cloud Forecasting as a Proxy for 4D Occupancy Forecasting","created":"2023-02-25","cited_by_count":78,"area":"wm"},{"id":"2408.14197","title":"Driving in the Occupancy World: Vision-Centric 4D Occupancy Forecasting and Planning via World Models for Autonomous Driving","created":"2024-08-26","cited_by_count":69,"area":"wm"},{"id":"2510.16732","title":"A Comprehensive Survey on World Models for Embodied AI","created":"2025-10-19","cited_by_count":68,"area":"wm"},{"id":"2509.07996","title":"3D and 4D World Modeling: A Survey","created":"2025-09-04","cited_by_count":67,"area":"wm"},{"id":"2501.11260","title":"A Survey of World Models for Autonomous Driving","created":"2025-01-20","cited_by_count":60,"area":"wm"},{"id":"2311.17663","title":"Cam4DOcc: Benchmark for Camera-Only 4D Occupancy Forecasting in Autonomous Driving Applications","created":"2023-11-29","cited_by_count":52,"area":"wm"},{"id":"2409.11356","title":"RenderWorld: World Model with Self-Supervised 3D Label","created":"2024-09-17","cited_by_count":46,"area":"wm"},{"id":"2409.18341","title":"Navigation-Guided Sparse Scene Representation for End-to-End Autonomous Driving","created":"2024-09-26","cited_by_count":46,"area":"wm"},{"id":"2406.08691","title":"UnO: Unsupervised Occupancy Fields for Perception and Forecasting","created":"2024-06-12","cited_by_count":41,"area":"wm"},{"id":"2501.00601","title":"DreamDrive: Generative 4D Scene Modeling from Street View Images","created":"2024-12-31","cited_by_count":35,"area":"wm"},{"id":"2505.19239","title":"DriveX: Omni Scene Modeling for Learning Generalizable World Knowledge in Autonomous Driving","created":"2025-05-25","cited_by_count":21,"area":"wm"},{"id":"2505.22421","title":"GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control","created":"2025-05-28","cited_by_count":19,"area":"wm"},{"id":"2412.13772","title":"An Efficient Occupancy World Model via Decoupled Dynamic Flow and Image-assisted Training","created":"2024-12-18","cited_by_count":18,"area":"wm"},{"id":"2507.09144","title":"$I^{2}$-World: Intra-Inter Tokenization for Efficient Dynamic 4D Scene Forecasting","created":"2025-07-12","cited_by_count":8,"area":"wm"},{"id":"2602.08006","title":"ForecastOcc: Vision-based Semantic Occupancy Forecasting","created":"2026-02-08","cited_by_count":7,"area":"wm"},{"id":"2503.07338","title":"Delta-Triplane Transformers as Occupancy World Models","created":"2025-03-10","cited_by_count":5,"area":"wm"},{"id":"2511.20095","title":"WPT: World-to-Policy Transfer via Online World Model Distillation","created":"2025-11-25","cited_by_count":4,"area":"wm"},{"id":"2510.16729","title":"Vision-Centric 4D Occupancy Forecasting and Planning via Implicit Residual World Models","created":"2025-10-19","cited_by_count":3,"area":"wm"},{"id":"2604.00969","title":"DLWM: Dual Latent World Models enable Holistic Gaussian-centric Pre-training in Autonomous Driving","created":"2026-04-01","cited_by_count":2,"area":"wm"},{"id":"2609.32013","title":"TriO: Tri-Modal Unsupervised Occupancy World Model for Anything Perception","created":"2026-09-25","cited_by_count":0,"area":"wm"},{"id":"2610.14544","title":"InfraWorld: Motion-Aware World Modeling for Roadside 4D Occupancy Forecasting","created":"2026-10-10","cited_by_count":0,"area":"wm"}],"next_cursor":null}