{"total":23,"rows":[{"id":"2401.01454","title":"A Survey on Autonomous Driving Datasets: Statistics, Annotation Quality, and a Future Outlook","created":"2024-01-02","cited_by_count":66,"area":null},{"id":"2403.08337","title":"LLM-Assisted Light: Leveraging Large Language Model Capabilities for Human-Mimetic Traffic Signal Control in Complex Urban Environments","created":"2024-03-13","cited_by_count":31,"area":null},{"id":"2403.08032","title":"LG-Traj: LLM Guided Pedestrian Trajectory Prediction","created":"2024-03-12","cited_by_count":25,"area":null},{"id":"2402.02968","title":"Delving into Multi-modal Multi-task Foundation Models for Road Scene Understanding: From Learning Paradigm Perspectives","created":"2024-02-05","cited_by_count":23,"area":null},{"id":"2503.03262","title":"Trajectory Prediction for Autonomous Driving: Progress, Limitations, and Future Directions","created":"2025-03-05","cited_by_count":14,"area":null},{"id":"2504.08603","title":"FindAnything: Open-Vocabulary and Object-Centric Mapping for Robot Exploration in Any Environment","created":"2025-04-11","cited_by_count":8,"area":null},{"id":"2507.11261","title":"ViewSRD: 3D Visual Grounding via Structured Multi-View Decomposition","created":"2025-07-15","cited_by_count":8,"area":null},{"id":"2405.02288","title":"Prospective Role of Foundation Models in Advancing Autonomous Vehicles","created":"2023-12-08","cited_by_count":7,"area":null},{"id":"2406.02158","title":"Radar Spectra-Language Model for Automotive Scene Parsing","created":"2024-06-04","cited_by_count":6,"area":null},{"id":"2509.22756","title":"Persistent Autoregressive Mapping with Traffic Rules for Autonomous Driving","created":"2025-09-26","cited_by_count":6,"area":null},{"id":"2501.06132","title":"CoDriveVLM: VLM-Enhanced Urban Cooperative Dispatching and Motion Planning for Future Autonomous Mobility on Demand Systems","created":"2025-01-10","cited_by_count":4,"area":null},{"id":"2512.18028","title":"Embodied4C: Measuring What Matters for Embodied Vision-Language Navigation","created":"2025-12-19","cited_by_count":3,"area":null},{"id":"2405.06719","title":"Enhancing Traffic Prediction with Textual Data Using Large Language Models","created":"2024-05-10","cited_by_count":2,"area":null},{"id":"2502.02773","title":"SD++: Enhancing Standard Definition Maps by Incorporating Road Knowledge using LLMs","created":"2025-02-04","cited_by_count":2,"area":null},{"id":"2504.02009","title":"Urban Computing in the Era of Large Language Models","created":"2025-04-02","cited_by_count":2,"area":null},{"id":"2505.13669","title":"GeoVLM: Improving Automated Vehicle Geolocalisation Using Vision-Language Matching","created":"2025-05-19","cited_by_count":2,"area":null},{"id":"2405.17942","title":"Learning Shared RGB-D Fields: Unified Self-supervised Pre-training for Label-efficient LiDAR-Camera 3D Perception","created":"2024-05-28","cited_by_count":1,"area":null},{"id":"2406.06211","title":"iMotion-LLM: Instruction-Conditioned Trajectory Generation","created":"2024-06-10","cited_by_count":1,"area":null},{"id":"2411.03328","title":"Foundation Models for Rapid Autonomy Validation","created":"2024-10-22","cited_by_count":0,"area":null},{"id":"2508.00917","title":"A Survey on Deep Multi-Task Learning in Connected Autonomous Vehicles","created":"2025-07-29","cited_by_count":0,"area":null},{"id":"2511.13753","title":"Robustness of LLM-enabled vehicle trajectory prediction under data security threats","created":"2025-11-14","cited_by_count":0,"area":null},{"id":"2606.11507","title":"SceneMiner: Identity-Preserving Multi-Task Fine-Tuning for Unified BEV Scene Mining","created":"2026-06-09","cited_by_count":0,"area":null},{"id":"2609.31636","title":"Grounding Vision-Language Models in Driving Semantics: A Multi-Dataset Predicate Framework for Explainable Reasoning","created":"2026-09-10","cited_by_count":0,"area":null}],"next_cursor":null}