{"total":42,"rows":[{"id":"2406.15349","title":"NAVSIM: Data-Driven Non-Reactive Autonomous Vehicle Simulation and Benchmarking","created":"2024-06-21","cited_by_count":354,"area":"driving"},{"id":"2406.03877","title":"Bench2Drive: Towards Multi-Ability Benchmarking of Closed-Loop End-To-End Autonomous Driving","created":"2024-06-06","cited_by_count":252,"area":"driving"},{"id":"2503.07656","title":"DriveTransformer: Unified Transformer for Scalable End-to-End Autonomous Driving","created":"2025-03-07","cited_by_count":126,"area":"driving"},{"id":"2402.01105","title":"A Survey for Foundation Models in Autonomous Driving","created":"2024-02-02","cited_by_count":52,"area":"driving"},{"id":"2312.04372","title":"LaMPilot: An Open Benchmark Dataset for Autonomous Driving with Language Model Programs","created":"2023-12-07","cited_by_count":45,"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":"2506.11526","title":"Foundation Models in Autonomous Driving: A Survey on Scenario Generation and Scenario Analysis","created":"2025-06-13","cited_by_count":38,"area":"driving"},{"id":"2312.00812","title":"Empowering Autonomous Driving with Large Language Models: A Safety Perspective","created":"2023-11-28","cited_by_count":34,"area":"driving"},{"id":"2401.08045","title":"Forging Vision Foundation Models for Autonomous Driving: Challenges, Methodologies, and Opportunities","created":"2024-01-16","cited_by_count":24,"area":"driving"},{"id":"2502.16804","title":"Multi-Agent Autonomous Driving Systems with Large Language Models: A Survey of Recent Advances","created":"2025-02-24","cited_by_count":21,"area":"driving"},{"id":"2501.15850","title":"LLM-attacker: Enhancing Closed-loop Adversarial Scenario Generation for Autonomous Driving with Large Language Models","created":"2025-01-27","cited_by_count":19,"area":"driving"},{"id":"2403.02877","title":"ActiveAD: Planning-Oriented Active Learning for End-to-End Autonomous Driving","created":"2024-03-05","cited_by_count":16,"area":"driving"},{"id":"2311.12144","title":"Applications of Large Scale Foundation Models for Autonomous Driving","created":"2023-11-20","cited_by_count":14,"area":"driving"},{"id":"2502.01387","title":"TeLL-Drive: Enhancing Autonomous Driving with Teacher LLM-Guided Deep Reinforcement Learning","created":"2025-02-03","cited_by_count":13,"area":"driving"},{"id":"2505.06875","title":"Towards Human-Centric Autonomous Driving: A Fast-Slow Architecture Integrating Large Language Model Guidance with Reinforcement Learning","created":"2025-05-11","cited_by_count":11,"area":"driving"},{"id":"2602.13301","title":"DriveMamba: Task-Centric Scalable State Space Model for Efficient End-to-End Autonomous Driving","created":"2026-02-09","cited_by_count":9,"area":"driving"},{"id":"2406.10540","title":"Generating and Evolving Reward Functions for Highway Driving with Large Language Models","created":"2024-06-15","cited_by_count":8,"area":"driving"},{"id":"2606.19836","title":"World Engine: Towards the Era of Post-Training for Autonomous Driving","created":"2026-06-18","cited_by_count":8,"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":"2505.17209","title":"LiloDriver: A Lifelong Learning Framework for Closed-loop Motion Planning in Long-tail Autonomous Driving Scenarios","created":"2025-05-22","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":"2512.06865","title":"Spatial Retrieval Augmented Autonomous Driving","created":"2025-12-07","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":"2507.23540","title":"A Unified Perception-Language-Action Framework for Adaptive Autonomous Driving","created":"2025-07-31","cited_by_count":4,"area":"driving"},{"id":"2508.04642","title":"RoboTron-Sim: Improving Real-World Driving via Simulated Hard-Case","created":"2025-08-06","cited_by_count":4,"area":"driving"},{"id":"2409.09777","title":"EgoFSD: Ego-Centric Fully Sparse Paradigm with Uncertainty Denoising and Iterative Refinement for Efficient End-to-End Self-Driving","created":"2024-09-15","cited_by_count":3,"area":"driving"},{"id":"2412.16265","title":"Autoware.Flex: Human-Instructed Dynamically Reconfigurable Autonomous Driving Systems","created":"2024-12-20","cited_by_count":3,"area":"driving"},{"id":"2509.10570","title":"Large Foundation Models for Trajectory Prediction in Autonomous Driving: A Comprehensive Survey","created":"2025-09-11","cited_by_count":3,"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":"2505.04980","title":"LVLM-MPC Collaboration for Autonomous Driving: A Safety-Aware and Task-Scalable Control Architecture","created":"2025-05-08","cited_by_count":2,"area":"driving"},{"id":"2509.24408","title":"FuncPoison: Poisoning Function Library to Hijack Multi-agent Autonomous Driving Systems","created":"2025-09-29","cited_by_count":2,"area":"driving"},{"id":"2511.13297","title":"CorrectAD: A Self-Correcting Agentic System to Improve End-to-end Planning in Autonomous Driving","created":"2025-11-17","cited_by_count":2,"area":"driving"},{"id":"2511.14977","title":"SVBRD-LLM: Self-Verifying Behavioral Rule Discovery for Autonomous Vehicle Identification","created":"2025-11-18","cited_by_count":1,"area":"driving"},{"id":"2604.07944","title":"On-Policy Distillation of Language Models for Autonomous Vehicle Motion Planning","created":"2026-04-09","cited_by_count":1,"area":"driving"},{"id":"2505.06749","title":"AI-CDA4All: Democratizing Cooperative Autonomous Driving for All Drivers via Affordable Dash-cam Hardware and Open-source AI Software","created":"2025-05-10","cited_by_count":0,"area":"driving"},{"id":"2512.12302","title":"From Human Intention to Action Prediction: Intention-Driven End-to-End Autonomous Driving","created":"2025-12-13","cited_by_count":0,"area":"driving"},{"id":"2602.10771","title":"From Steering to Pedalling: Do Autonomous Driving VLMs Generalize to Cyclist-Assistive Spatial Perception and Planning?","created":"2026-02-11","cited_by_count":0,"area":"driving"},{"id":"2604.23513","title":"Large Language Model based Interactive Decision-Making for Autonomous Driving","created":"2026-04-26","cited_by_count":0,"area":"driving"},{"id":"2605.04475","title":"Information Coordination as a Bridge: A Neuro-Symbolic Architecture for Reliable Autonomous Driving Scene Understanding","created":"2026-05-06","cited_by_count":0,"area":"driving"},{"id":"2606.31483","title":"A Large-Language-Model Supported Personalized Driving Framework for Lane Change in Highway Scenarios","created":"2026-06-30","cited_by_count":0,"area":"driving"},{"id":"2607.01772","title":"LLM-Empowered Multimodal Fusion Framework for Autonomous Driving: Semantic Enhancement and Channel-Adaptive Design","created":"2026-07-02","cited_by_count":0,"area":"driving"},{"id":"2609.19903","title":"REARL: A Closed-loop Autonomous Driving Simulation Enhancement Framework with Real Traffic Data and Large Language Models","created":"2026-09-17","cited_by_count":0,"area":"driving"}],"next_cursor":null}