{"total":21,"rows":[{"id":"2405.15324","title":"Continuously Learning, Adapting, and Improving: A Dual-Process Approach to Autonomous Driving","created":"2024-05-24","cited_by_count":41,"area":"driving"},{"id":"2406.14556","title":"Asynchronous Large Language Model Enhanced Planner for Autonomous Driving","created":"2024-06-20","cited_by_count":38,"area":"driving"},{"id":"2406.03008","title":"DriVLMe: Enhancing LLM-based Autonomous Driving Agents with Embodied and Social Experiences","created":"2024-06-05","cited_by_count":27,"area":"driving"},{"id":"2503.03074","title":"BEVDriver: Leveraging BEV Maps in LLMs for Robust Closed-Loop Driving","created":"2025-03-05","cited_by_count":26,"area":"driving"},{"id":"2502.14917","title":"Sce2DriveX: A Generalized MLLM Framework for Scene-to-Drive Learning","created":"2025-02-19","cited_by_count":25,"area":"driving"},{"id":"2405.05885","title":"VLM-Auto: VLM-based Autonomous Driving Assistant with Human-like Behavior and Understanding for Complex Road Scenes","created":"2024-05-09","cited_by_count":23,"area":"driving"},{"id":"2503.00211","title":"SafeAuto: Knowledge-Enhanced Safe Autonomous Driving with Multimodal Foundation Models","created":"2025-02-28","cited_by_count":23,"area":"driving"},{"id":"2409.09575","title":"Traffic Scene Generation from Natural Language Description for Autonomous Vehicles with Large Language Model","created":"2024-09-15","cited_by_count":14,"area":"driving"},{"id":"2503.08162","title":"FASIONAD++ : Integrating High-Level Instruction and Information Bottleneck in FAt-Slow fusION Systems for Enhanced Safety in Autonomous Driving with Adaptive Feedback","created":"2025-03-11","cited_by_count":12,"area":"driving"},{"id":"2410.15281","title":"LLM4AD: Large Language Models for Autonomous Driving -- Concept, Review, Benchmark, Experiments, and Future Trends","created":"2024-10-20","cited_by_count":10,"area":"driving"},{"id":"2505.08854","title":"Generative AI for Autonomous Driving: Frontiers and Opportunities","created":"2025-05-13","cited_by_count":7,"area":"driving"},{"id":"2409.10484","title":"XLM for Autonomous Driving Systems: A Comprehensive Review","created":"2024-09-16","cited_by_count":5,"area":"driving"},{"id":"2505.15793","title":"HCRMP: A LLM-Hinted Contextual Reinforcement Learning Framework for Autonomous Driving","created":"2025-05-21","cited_by_count":4,"area":"driving"},{"id":"2601.03460","title":"FROST-Drive: Scalable and Efficient End-to-End Driving with a Frozen Vision Encoder","created":"2026-01-06","cited_by_count":4,"area":"driving"},{"id":"2512.00021","title":"Foundation Models for Trajectory Planning in Autonomous Driving: A Review of Progress and Open Challenges","created":"2025-10-31","cited_by_count":3,"area":"driving"},{"id":"2510.18123","title":"SafeCoop: Unravelling Full Stack Safety in Agentic Collaborative Driving","created":"2025-10-20","cited_by_count":2,"area":"driving"},{"id":"2502.10477","title":"Knowledge Integration Strategies in Autonomous Vehicle Prediction and Planning: A Comprehensive Survey","created":"2025-02-13","cited_by_count":1,"area":"driving"},{"id":"2606.25509","title":"ASSCG: Just-Right Gating over Chattering for Fast-Slow LLM Planning in Autonomous Driving","created":"2026-06-24","cited_by_count":1,"area":"driving"},{"id":"2502.06843","title":"Vision-Integrated LLMs for Autonomous Driving Assistance : Human Performance Comparison and Trust Evaluation","created":"2025-02-06","cited_by_count":0,"area":"driving"},{"id":"2606.12616","title":"PersonaDrive: Human-Style Retrieval-Augmented VLA Agents for Closed-Loop Driving Simulation","created":"2026-06-10","cited_by_count":0,"area":"driving"},{"id":"2606.20640","title":"An LLM-Explainable DRL Framework for Passenger-Directed Autonomous Driving","created":"2026-06-02","cited_by_count":0,"area":"driving"}],"next_cursor":null}