{"total":28,"rows":[{"id":"2112.12610","title":"PandaSet: Advanced Sensor Suite Dataset for Autonomous Driving","created":"2021-12-23","cited_by_count":190,"area":"wm"},{"id":"2403.09630","title":"GenAD: Generalized Predictive Model for Autonomous Driving","created":"2024-03-14","cited_by_count":150,"area":"wm"},{"id":"2303.05367","title":"Rethinking Range View Representation for LiDAR Segmentation","created":"2023-03-09","cited_by_count":128,"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":"2507.19468","title":"Back to the Features: DINO as a Foundation for Video World Models","created":"2025-07-25","cited_by_count":58,"area":"wm"},{"id":"2502.15672","title":"VaViM and VaVAM: Autonomous Driving through Video Generative Modeling","created":"2025-02-21","cited_by_count":35,"area":"wm"},{"id":"2510.18313","title":"OmniNWM: Omniscient Driving Navigation World Models","created":"2025-10-21","cited_by_count":33,"area":"wm"},{"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":"2402.02112","title":"S-NeRF++: Autonomous Driving Simulation via Neural Reconstruction and Generation","created":"2024-02-03","cited_by_count":28,"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":"2407.08725","title":"MetaUrban: An Embodied AI Simulation Platform for Urban Micromobility","created":"2024-07-11","cited_by_count":21,"area":"wm"},{"id":"2603.12655","title":"VGGT-World: Transforming VGGT into an Autoregressive Geometry World Model","created":"2026-03-13","cited_by_count":13,"area":"wm"},{"id":"2604.04913","title":"A Frame is Worth One Token: Efficient Generative World Modeling with Delta Tokens","created":"2026-04-06","cited_by_count":10,"area":"wm"},{"id":"2308.05701","title":"Exploring the Potential of World Models for Anomaly Detection in Autonomous Driving","created":"2023-08-10","cited_by_count":7,"area":"wm"},{"id":"2401.14718","title":"A Survey on Future Frame Synthesis: Bridging Deterministic and Generative Approaches","created":"2024-01-26","cited_by_count":7,"area":"wm"},{"id":"2311.09064","title":"Imagine the Unseen World: A Benchmark for Systematic Generalization in Visual World Models","created":"2023-11-15","cited_by_count":6,"area":"wm"},{"id":"2503.21449","title":"Towards Generating Realistic 3D Semantic Training Data for Autonomous Driving","created":"2025-03-27","cited_by_count":5,"area":"wm"},{"id":"2508.03690","title":"Veila: Panoramic LiDAR Generation from a Monocular RGB Image","created":"2025-08-05","cited_by_count":5,"area":"wm"},{"id":"2512.11225","title":"VFMF: World Modeling by Forecasting Vision Foundation Model Features","created":"2025-12-12","cited_by_count":5,"area":"wm"},{"id":"2301.04783","title":"Predictive World Models from Real-World Partial Observations","created":"2023-01-12","cited_by_count":4,"area":"wm"},{"id":"2503.13952","title":"SimWorld: A Unified Benchmark for Simulator-Conditioned Scene Generation via World Model","created":"2025-03-18","cited_by_count":4,"area":"wm"},{"id":"2510.04978","title":"Aligning Perception, Reasoning, Modeling and Interaction: A Survey on Physical AI","created":"2025-10-06","cited_by_count":3,"area":"wm"},{"id":"2503.20654","title":"AccidentSim: Generating Vehicle Collision Videos with Physically Realistic Collision Trajectories from Real-World Accident Reports","created":"2025-03-26","cited_by_count":2,"area":"wm"},{"id":"2606.21172","title":"BadDreamer: Transferable Backdoor Attacks against Video World Models for Autonomous Driving","created":"2026-06-19","cited_by_count":1,"area":"wm"},{"id":"2607.12214","title":"Robust 4D Driving Scene Reconstruction from Imperfect Visual Priors","created":"2026-07-07","cited_by_count":0,"area":"wm"},{"id":"2607.15898","title":"Orbis 2: A Hierarchical World Model for Driving","created":"2026-07-17","cited_by_count":0,"area":"wm"},{"id":"2608.02428","title":"DF$^3$: World Modeling via Decoder-Free Feature Forecasting in Autonomous Navigation","created":"2026-08-03","cited_by_count":0,"area":"wm"},{"id":"2610.01942","title":"Latent-Foresight: End-to-End Learning Predictable Representations for Latent World Models","created":"2026-10-01","cited_by_count":0,"area":"wm"}],"next_cursor":null}