{"total":61,"rows":[{"id":"2311.01043","title":"LLM4Drive: A Survey of Large Language Models for Autonomous Driving","created":"2023-11-02","cited_by_count":136,"area":"driving"},{"id":"2408.00415","title":"DriveArena: A Closed-loop Generative Simulation Platform for Autonomous Driving","created":"2024-08-01","cited_by_count":98,"area":"driving"},{"id":"2402.05746","title":"Editable Scene Simulation for Autonomous Driving via Collaborative LLM-Agents","created":"2024-02-08","cited_by_count":91,"area":"driving"},{"id":"2506.09042","title":"Cosmos-Drive-Dreams: Scalable Synthetic Driving Data Generation with World Foundation Models","created":"2025-06-10","cited_by_count":84,"area":"driving"},{"id":"2405.20337","title":"OccSora: 4D Occupancy Generation Models as World Simulators for Autonomous Driving","created":"2024-05-30","cited_by_count":78,"area":"driving"},{"id":"2404.07762","title":"NeuroNCAP: Photorealistic Closed-loop Safety Testing for Autonomous Driving","created":"2024-04-11","cited_by_count":62,"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":"2503.11650","title":"Centaur: Robust End-to-End Autonomous Driving with Test-Time Training","created":"2025-03-14","cited_by_count":42,"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":"2601.22032","title":"Drive-JEPA: Video JEPA Meets Multimodal Trajectory Distillation for End-to-End Driving","created":"2026-01-29","cited_by_count":30,"area":"driving"},{"id":"2312.04316","title":"Towards Knowledge-driven Autonomous Driving","created":"2023-12-07","cited_by_count":29,"area":"driving"},{"id":"2502.06419","title":"Occ-LLM: Enhancing Autonomous Driving with Occupancy-Based Large Language Models","created":"2025-02-10","cited_by_count":28,"area":"driving"},{"id":"2508.11428","title":"ImagiDrive: A Unified Imagination-and-Planning Framework for Autonomous Driving","created":"2025-08-15","cited_by_count":25,"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":"2412.01407","title":"HoloDrive: Holistic 2D-3D Multi-Modal Street Scene Generation for Autonomous Driving","created":"2024-12-02","cited_by_count":23,"area":"driving"},{"id":"2401.12888","title":"Data-Centric Evolution in Autonomous Driving: A Comprehensive Survey of Big Data System, Data Mining, and Closed-Loop Technologies","created":"2024-01-23","cited_by_count":17,"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":"2412.09647","title":"Bench2Drive-R: Turning Real World Data into Reactive Closed-Loop Autonomous Driving Benchmark by Generative Model","created":"2024-12-11","cited_by_count":14,"area":"driving"},{"id":"2512.09864","title":"UniUGP: Unifying Understanding, Generation, and Planing For End-to-end Autonomous Driving","created":"2025-12-10","cited_by_count":10,"area":"driving"},{"id":"2503.14537","title":"Learning-based 3D Reconstruction in Autonomous Driving: A Comprehensive Survey","created":"2025-03-17","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":"2602.18887","title":"SafeDrive: Fine-Grained Safety Reasoning for End-to-End Driving in a Sparse World","created":"2026-02-21","cited_by_count":8,"area":"driving"},{"id":"2407.06546","title":"Exploring the Causality of End-to-End Autonomous Driving","created":"2024-07-09","cited_by_count":7,"area":"driving"},{"id":"2602.15891","title":"Learning to Drive in New Cities Without Human Demonstrations","created":"2026-02-09","cited_by_count":7,"area":"driving"},{"id":"2506.12251","title":"Efficient Multi-Camera Tokenization with Triplanes for End-to-End Driving","created":"2025-06-13","cited_by_count":6,"area":"driving"},{"id":"2509.13164","title":"TeraSim-World: Worldwide Safety-Critical Data Synthesis for End-to-End Autonomous Driving","created":"2025-09-16","cited_by_count":6,"area":"driving"},{"id":"2509.23922","title":"DriveE2E: Closed-Loop Benchmark for End-to-End Autonomous Driving through Real-to-Simulation","created":"2025-09-28","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":"2510.06209","title":"Drive&Gen: Co-Evaluating End-to-End Driving and Video Generation Models","created":"2025-10-07","cited_by_count":4,"area":"driving"},{"id":"2606.19641","title":"Scaling Self-Play for End-to-End Driving","created":"2026-06-17","cited_by_count":4,"area":"driving"},{"id":"2406.06370","title":"UMAD: Unsupervised Mask-Level Anomaly Detection for Autonomous Driving","created":"2024-06-10","cited_by_count":3,"area":"driving"},{"id":"2503.08388","title":"V-Max: A Reinforcement Learning Framework for Autonomous Driving","created":"2025-03-11","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":"2510.26023","title":"Large Language Model-assisted Autonomous Vehicle Recovery from Immobilization","created":"2025-10-29","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":"2603.14938","title":"FAR-Drive: Frame-AutoRegressive Video Generation in Closed-Loop Autonomous Driving","created":"2026-03-16","cited_by_count":3,"area":"driving"},{"id":"2607.14203","title":"Instant NuRec: Feed-Forward 3D Gaussian Reconstruction for Driving Scene Simulation","created":"2026-07-15","cited_by_count":3,"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":"2603.12864","title":"Composing Driving Worlds through Disentangled Control for Adversarial Scenario Generation","created":"2026-03-13","cited_by_count":2,"area":"driving"},{"id":"2605.23176","title":"DRIVESPATIAL: A Benchmark for Spatiotemporal Intelligence in VLMs for Autonomous Driving","created":"2026-05-22","cited_by_count":2,"area":"driving"},{"id":"2412.03758","title":"ARCON: Advancing Auto-Regressive Continuation for Driving Videos","created":"2024-12-04","cited_by_count":1,"area":"driving"},{"id":"2503.10586","title":"Unlock the Power of Unlabeled Data in Language Driving Model","created":"2025-03-13","cited_by_count":1,"area":"driving"},{"id":"2503.23708","title":"Towards Benchmarking and Assessing the Safety and Robustness of Autonomous Driving on Safety-critical Scenarios","created":"2025-03-31","cited_by_count":1,"area":"driving"},{"id":"2506.11842","title":"Your Ride, Your Rules: Psychology and Cognition Enabled Automated Driving Systems","created":"2025-06-13","cited_by_count":1,"area":"driving"},{"id":"2509.12632","title":"Maps for Autonomous Driving: Full-process Survey and Frontiers","created":"2025-09-16","cited_by_count":1,"area":"driving"},{"id":"2512.16055","title":"Driving in Corner Case: A Real-World Adversarial Closed-Loop Evaluation Platform for End-to-End Autonomous Driving","created":"2025-12-18","cited_by_count":1,"area":"driving"},{"id":"2603.11534","title":"Risk-Controllable Multi-View Diffusion for Driving Scenario Generation","created":"2026-03-12","cited_by_count":1,"area":"driving"},{"id":"2603.28353","title":"VistaGEN: Consistent Driving Video Generation with Fine-Grained Control Using Multiview Visual-Language Reasoning","created":"2026-03-30","cited_by_count":1,"area":"driving"},{"id":"2605.21061","title":"Grounding Driving VLA via Inverse Kinematics","created":"2026-05-20","cited_by_count":1,"area":"driving"},{"id":"2507.23683","title":"I2V-GS: Infrastructure-to-Vehicle View Transformation with Gaussian Splatting for Autonomous Driving Data Generation","created":"2025-07-31","cited_by_count":0,"area":"driving"},{"id":"2509.22754","title":"Benchmarking Autonomous Driving Planners Across Leaderboards: A Unified CARLA-Based Evaluation","created":"2025-09-26","cited_by_count":0,"area":"driving"},{"id":"2605.21372","title":"Closed Loop Dynamic Driving Data Mixture for Real-Synthetic Co-Training","created":"2026-05-20","cited_by_count":0,"area":"driving"},{"id":"2605.26113","title":"AnyScene: Towards Highly Controllable Driving Scene Generation at Anywhere and Beyond","created":"2026-05-25","cited_by_count":0,"area":"driving"},{"id":"2606.07366","title":"Dash2Sim: Closed-Loop Driving Simulation from in-the-wild Dashcam Videos","created":"2026-06-05","cited_by_count":0,"area":"driving"},{"id":"2608.01761","title":"DecoupleGS: Interactive 3D Gaussian Splatting for End-to-End Autonomous Driving Testing","created":"2026-08-03","cited_by_count":0,"area":"driving"},{"id":"2609.12371","title":"READ: Learning Risk-Informed Fields for End-to-End Autonomous Driving","created":"2026-09-11","cited_by_count":0,"area":"driving"},{"id":"2609.26792","title":"DreamStream: Towards Policy-Oriented Generative Simulation for End-to-End Driving","created":"2026-09-22","cited_by_count":0,"area":"driving"},{"id":"2609.28969","title":"Sim-to-Real Aware End-to-End Learning Environment for Micromobility","created":"2026-09-24","cited_by_count":0,"area":"driving"},{"id":"2609.39542","title":"Comparative study of adapting pre-trained models for driving behavior video captioning","created":"2026-09-30","cited_by_count":0,"area":"driving"},{"id":"2610.00926","title":"A Survey on End-to-End Autonomous Driving Training from the Perspectives of Data, Strategy, and Platform","created":"2026-10-01","cited_by_count":0,"area":"driving"}],"next_cursor":null}