{"total":33,"rows":[{"id":"2304.14365","title":"Occ3D: A Large-Scale 3D Occupancy Prediction Benchmark for Autonomous Driving","created":"2023-04-27","cited_by_count":332,"area":"wm"},{"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":"2405.20323","title":"$\\textit{S}^3$Gaussian: Self-Supervised Street Gaussians for Autonomous Driving","created":"2024-05-30","cited_by_count":105,"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":"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":"2412.10373","title":"GaussianWorld: Gaussian World Model for Streaming 3D Occupancy Prediction","created":"2024-12-13","cited_by_count":67,"area":"wm"},{"id":"2410.10429","title":"DOME: Taming Diffusion Model into High-Fidelity Controllable Occupancy World Model","created":"2024-10-14","cited_by_count":61,"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":"2308.07234","title":"UniWorld: Autonomous Driving Pre-training via World Models","created":"2023-08-14","cited_by_count":33,"area":"wm"},{"id":"2311.11762","title":"MUVO: A Multimodal Generative World Model for Autonomous Driving with Geometric Representations","created":"2023-11-20","cited_by_count":33,"area":"wm"},{"id":"2510.18313","title":"OmniNWM: Omniscient Driving Navigation World Models","created":"2025-10-21","cited_by_count":33,"area":"wm"},{"id":"2404.15014","title":"OccGen: Generative Multi-modal 3D Occupancy Prediction for Autonomous Driving","created":"2024-04-23","cited_by_count":29,"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":"2506.03079","title":"ORV: 4D Occupancy-centric Robot Video Generation","created":"2025-06-03","cited_by_count":17,"area":"wm"},{"id":"2502.15180","title":"OccProphet: Pushing Efficiency Frontier of Camera-Only 4D Occupancy Forecasting with Observer-Forecaster-Refiner Framework","created":"2025-02-21","cited_by_count":12,"area":"wm"},{"id":"2509.03887","title":"OccTENS: 3D Occupancy World Model via Temporal Next-Scale Prediction","created":"2025-09-04","cited_by_count":9,"area":"wm"},{"id":"2505.05512","title":"Occupancy World Model for Robots","created":"2025-05-07","cited_by_count":8,"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":"2411.14169","title":"Spatiotemporal Decoupling for Efficient Vision-Based Occupancy Forecasting","created":"2024-11-21","cited_by_count":6,"area":"wm"},{"id":"2603.25741","title":"Vega: Learning to Drive with Natural Language Instructions","created":"2026-03-26","cited_by_count":6,"area":"wm"},{"id":"2503.07338","title":"Delta-Triplane Transformers as Occupancy World Models","created":"2025-03-10","cited_by_count":5,"area":"wm"},{"id":"2511.22039","title":"SparseWorld-TC: Trajectory-Conditioned Sparse Occupancy World Model","created":"2025-11-27","cited_by_count":4,"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":"2603.19219","title":"DriveTok: 3D Driving Scene Tokenization for Unified Multi-View Reconstruction and Understanding","created":"2026-03-19","cited_by_count":0,"area":"wm"},{"id":"2605.17682","title":"GEM: Gaussian Evolution Model for Occupancy Forecasting and Motion Planning","created":"2026-05-17","cited_by_count":0,"area":"wm"},{"id":"2606.13460","title":"VISA: VLM-Guided Instance Semantic Auditing for 3D Occupancy World Models","created":"2026-06-11","cited_by_count":0,"area":"wm"},{"id":"2606.27644","title":"CascadeOcc: Rethinking 3D Occupancy World Models with Cascaded VQ Representations","created":"2026-06-26","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}