{"total":191,"rows":[{"id":"2306.16927","title":"End-to-end Autonomous Driving: Challenges and Frontiers","created":"2023-06-29","cited_by_count":490,"area":"driving"},{"id":"2402.12289","title":"DriveVLM: The Convergence of Autonomous Driving and Large Vision-Language Models","created":"2024-02-19","cited_by_count":490,"area":"mllm"},{"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":"2405.17398","title":"Vista: A Generalizable Driving World Model with High Fidelity and Versatile Controllability","created":"2024-05-27","cited_by_count":347,"area":"wm"},{"id":"2309.09777","title":"DriveDreamer: Towards Real-world-driven World Models for Autonomous Driving","created":"2023-09-18","cited_by_count":261,"area":"wm"},{"id":"2506.13757","title":"AutoVLA: A Vision-Language-Action Model for End-to-End Autonomous Driving with Adaptive Reasoning and Reinforcement Fine-Tuning","created":"2025-06-16","cited_by_count":260,"area":"lr"},{"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":"2306.07962","title":"Parting with Misconceptions about Learning-based Vehicle Motion Planning","created":"2023-06-13","cited_by_count":242,"area":null},{"id":"2312.03031","title":"Is Ego Status All You Need for Open-Loop End-to-End Autonomous Driving?","created":"2023-12-05","cited_by_count":242,"area":"driving"},{"id":"2405.19620","title":"SparseDrive: End-to-End Autonomous Driving via Sparse Scene Representation","created":"2024-05-30","cited_by_count":241,"area":"driving"},{"id":"2312.09245","title":"DriveMLM: Aligning Multi-Modal Large Language Models with Behavioral Planning States for Autonomous Driving","created":"2023-12-14","cited_by_count":233,"area":"mllm"},{"id":"2410.23262","title":"EMMA: End-to-End Multimodal Model for Autonomous Driving","created":"2024-10-30","cited_by_count":231,"area":"driving"},{"id":"2506.08052","title":"ReCogDrive: A Reinforced Cognitive Framework for End-to-End Autonomous Driving","created":"2025-06-09","cited_by_count":198,"area":"mllm"},{"id":"2503.19755","title":"ORION: A Holistic End-to-End Autonomous Driving Framework by Vision-Language Instructed Action Generation","created":"2025-03-25","cited_by_count":178,"area":"lr"},{"id":"2503.23463","title":"OpenDriveVLA: Towards End-to-end Autonomous Driving with Large Vision Language Action Model","created":"2025-03-30","cited_by_count":176,"area":"vla"},{"id":"2504.01941","title":"End-to-End Driving with Online Trajectory Evaluation via BEV World Model","created":"2025-04-02","cited_by_count":151,"area":"wm"},{"id":"2503.09594","title":"SimLingo: Vision-Only Closed-Loop Autonomous Driving with Language-Action Alignment","created":"2025-03-12","cited_by_count":150,"area":"driving"},{"id":"2506.04218","title":"Pseudo-Simulation for Autonomous Driving","created":"2025-06-04","cited_by_count":150,"area":"driving"},{"id":"2504.04348","title":"OmniDrive: A Holistic Vision-Language Dataset for Autonomous Driving with Counterfactual Reasoning","created":"2025-04-06","cited_by_count":143,"area":"wm"},{"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":"2410.13571","title":"DriveDreamer4D: World Models Are Effective Data Machines for 4D Driving Scene Representation","created":"2024-10-17","cited_by_count":123,"area":"wm"},{"id":"2405.20323","title":"$\\textit{S}^3$Gaussian: Self-Supervised Street Gaussians for Autonomous Driving","created":"2024-05-30","cited_by_count":105,"area":"wm"},{"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":"2412.15208","title":"OpenEMMA: Open-Source Multimodal Model for End-to-End Autonomous Driving","created":"2024-12-19","cited_by_count":93,"area":"mllm"},{"id":"2411.19548","title":"ReconDreamer: Crafting World Models for Driving Scene Reconstruction via Online Restoration","created":"2024-11-29","cited_by_count":89,"area":"wm"},{"id":"2412.14446","title":"VLM-AD: End-to-End Autonomous Driving through Vision-Language Model Supervision","created":"2024-12-19","cited_by_count":86,"area":"lr"},{"id":"2505.16278","title":"DriveMoE: Mixture-of-Experts for Vision-Language-Action Model in End-to-End Autonomous Driving","created":"2025-05-22","cited_by_count":86,"area":"vla"},{"id":"2502.13144","title":"RAD: Training an End-to-End Driving Policy via Large-Scale 3DGS-based Reinforcement Learning","created":"2025-02-18","cited_by_count":79,"area":"driving"},{"id":"2504.19580","title":"ARTEMIS: Autoregressive End-to-End Trajectory Planning with Mixture of Experts for Autonomous Driving","created":"2025-04-28","cited_by_count":67,"area":"driving"},{"id":"2510.26125","title":"WOD-E2E: Waymo Open Dataset for End-to-End Driving in Challenging Long-tail Scenarios","created":"2025-10-30","cited_by_count":62,"area":"mllm"},{"id":"2406.01349","title":"Unleashing Generalization of End-to-End Autonomous Driving with Controllable Long Video Generation","created":"2024-06-03","cited_by_count":55,"area":"wm"},{"id":"2404.02903","title":"LidarDM: Generative LiDAR Simulation in a Generated World","created":"2024-04-03","cited_by_count":54,"area":null},{"id":"2408.13890","title":"Making Large Language Models Better Planners with Reasoning-Decision Alignment","created":"2024-08-25","cited_by_count":52,"area":"lr"},{"id":"2505.16394","title":"Raw2Drive: Reinforcement Learning with Aligned World Models for End-to-End Autonomous Driving (in CARLA v2)","created":"2025-05-22","cited_by_count":47,"area":"wm"},{"id":"2501.09757","title":"Distilling Multi-modal Large Language Models for Autonomous Driving","created":"2025-01-16","cited_by_count":46,"area":"mllm"},{"id":"2404.00717","title":"End-to-End Autonomous Driving through V2X Cooperation","created":"2024-03-31","cited_by_count":42,"area":"driving"},{"id":"2505.15111","title":"iPad: Iterative Proposal-centric End-to-End Autonomous Driving","created":"2025-05-21","cited_by_count":42,"area":"driving"},{"id":"2510.04333","title":"RAP: 3D Rasterization Augmented End-to-End Planning","created":"2025-10-05","cited_by_count":41,"area":"driving"},{"id":"2406.01587","title":"PlanAgent: A Multi-modal Large Language Agent for Closed-loop Vehicle Motion Planning","created":"2024-06-03","cited_by_count":38,"area":"agents"},{"id":"2502.15672","title":"VaViM and VaVAM: Autonomous Driving through Video Generative Modeling","created":"2025-02-21","cited_by_count":35,"area":"wm"},{"id":"2503.08612","title":"HiP-AD: Hierarchical and Multi-Granularity Planning with Deformable Attention for Autonomous Driving in a Single Decoder","created":"2025-03-11","cited_by_count":35,"area":"driving"},{"id":"2509.01944","title":"AutoDrive-R$^2$: Incentivizing Reasoning and Self-Reflection Capacity for VLA Model in Autonomous Driving","created":"2025-09-02","cited_by_count":34,"area":"vla"},{"id":"2510.19654","title":"From Forecasting to Planning: Policy World Model for Collaborative State-Action Prediction","created":"2025-10-22","cited_by_count":33,"area":"wm"},{"id":"2412.09602","title":"Hidden Biases of End-to-End Driving Datasets","created":"2024-12-12","cited_by_count":30,"area":"driving"},{"id":"2308.05731","title":"The Integration of Prediction and Planning in Deep Learning Automated Driving Systems: A Review","created":"2023-08-10","cited_by_count":29,"area":null},{"id":"2412.09043","title":"DrivingRecon: Large 4D Gaussian Reconstruction Model For Autonomous Driving","created":"2024-12-12","cited_by_count":29,"area":"wm"},{"id":"2502.07309","title":"Semi-Supervised Vision-Centric 3D Occupancy World Model for Autonomous Driving","created":"2025-02-11","cited_by_count":29,"area":"wm"},{"id":"2406.17680","title":"End-to-End Autonomous Driving without Costly Modularization and 3D Manual Annotation","created":"2024-06-25","cited_by_count":28,"area":"driving"},{"id":"2512.10719","title":"SpaceDrive: Infusing Spatial Awareness into VLM-based Autonomous Driving","created":"2025-12-11","cited_by_count":28,"area":"lr"},{"id":"2403.17933","title":"SLEDGE: Synthesizing Driving Environments with Generative Models and Rule-Based Traffic","created":"2024-03-26","cited_by_count":27,"area":null},{"id":"2405.01533","title":"OmniDrive: A Holistic Vision-Language Dataset for Autonomous Driving with Counterfactual Reasoning","created":"2024-05-02","cited_by_count":27,"area":"lr"},{"id":"2503.12170","title":"DiffAD: A Unified Diffusion Modeling Approach for Autonomous Driving","created":"2025-03-15","cited_by_count":26,"area":"diffusion"},{"id":"2603.29163","title":"SparseDriveV2: Scoring is All You Need for End-to-End Autonomous Driving","created":"2026-03-31","cited_by_count":26,"area":"driving"},{"id":"2512.20563","title":"LEAD: Minimizing Learner-Expert Asymmetry in End-to-End Driving","created":"2025-12-23","cited_by_count":23,"area":"driving"},{"id":"2505.20024","title":"ReasonPlan: Unified Scene Prediction and Decision Reasoning for Closed-loop Autonomous Driving","created":"2025-05-26","cited_by_count":22,"area":"lr"},{"id":"2505.16805","title":"SOLVE: Synergy of Language-Vision and End-to-End Networks for Autonomous Driving","created":"2025-05-22","cited_by_count":21,"area":"mllm"},{"id":"2505.19239","title":"DriveX: Omni Scene Modeling for Learning Generalizable World Knowledge in Autonomous Driving","created":"2025-05-25","cited_by_count":21,"area":"wm"},{"id":"2506.23982","title":"StyleDrive: Towards Driving-Style Aware Benchmarking of End-To-End Autonomous Driving","created":"2025-06-30","cited_by_count":21,"area":"driving"},{"id":"2405.18361","title":"Is a 3D-Tokenized LLM the Key to Reliable Autonomous Driving?","created":"2024-05-28","cited_by_count":20,"area":"lr"},{"id":"2502.18042","title":"VLM-E2E: Enhancing End-to-End Autonomous Driving with Multimodal Driver Attention Fusion","created":"2025-02-25","cited_by_count":20,"area":"driving"},{"id":"2601.04453","title":"UniDrive-WM: Unified Understanding, Planning and Generation World Model for Autonomous Driving","created":"2026-01-07","cited_by_count":20,"area":"wm"},{"id":"2503.21505","title":"Fine-Grained Evaluation of Large Vision-Language Models in Autonomous Driving","created":"2025-03-27","cited_by_count":19,"area":"mllm"},{"id":"2505.24139","title":"S4-Driver: Scalable Self-Supervised Driving Multimodal Large Language Modelwith Spatio-Temporal Visual Representation","created":"2025-05-30","cited_by_count":19,"area":"mllm"},{"id":"2506.09800","title":"Reinforced Refinement with Self-Aware Expansion for End-to-End Autonomous Driving","created":"2025-06-11","cited_by_count":19,"area":"driving"},{"id":"2604.02190","title":"UniDriveVLA: Unifying Understanding, Perception, and Action Planning for Autonomous Driving","created":"2026-04-02","cited_by_count":19,"area":"vla"},{"id":"2406.06264","title":"DualAD: Disentangling the Dynamic and Static World for End-to-End Driving","created":"2024-06-10","cited_by_count":17,"area":"driving"},{"id":"2509.05578","title":"OccVLA: Vision-Language-Action Model with Implicit 3D Occupancy Supervision","created":"2025-09-06","cited_by_count":17,"area":"lr"},{"id":"2501.08861","title":"Generative Planning with 3D-vision Language Pre-training for End-to-End Autonomous Driving","created":"2025-01-15","cited_by_count":16,"area":"mllm"},{"id":"2506.00034","title":"GaussianFusion: Gaussian-Based Multi-Sensor Fusion for End-to-End Autonomous Driving","created":"2025-05-27","cited_by_count":16,"area":"driving"},{"id":"2507.12499","title":"ReAL-AD: Towards Human-Like Reasoning in End-to-End Autonomous Driving","created":"2025-07-16","cited_by_count":15,"area":"lr"},{"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":"2508.05402","title":"DistillDrive: End-to-End Multi-Mode Autonomous Driving Distillation by Isomorphic Hetero-Source Planning Model","created":"2025-08-07","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":"2503.18108","title":"Unraveling the Effects of Synthetic Data on End-to-End Autonomous Driving","created":"2025-03-23","cited_by_count":12,"area":"wm"},{"id":"2508.09158","title":"EvaDrive: Evolutionary Adversarial Policy Optimization for End-to-End Autonomous Driving","created":"2025-08-05","cited_by_count":12,"area":"driving"},{"id":"2406.07296","title":"Instruct Large Language Models to Drive like Humans","created":"2024-06-11","cited_by_count":11,"area":null},{"id":"2512.22939","title":"ColaVLA: Leveraging Cognitive Latent Reasoning for Hierarchical Parallel Trajectory Planning in Autonomous Driving","created":"2025-12-28","cited_by_count":11,"area":"lr"},{"id":"2603.11041","title":"DynVLA: Learning World Dynamics for Action Reasoning in Autonomous Driving","created":"2026-03-11","cited_by_count":11,"area":"vla"},{"id":"2412.02689","title":"Data Scaling Laws for Imitation Learning-Based End-to-End Autonomous Driving","created":"2024-12-03","cited_by_count":10,"area":"driving"},{"id":"2602.21952","title":"MindDriver: Introducing Progressive Multimodal Reasoning for Autonomous Driving","created":"2026-02-25","cited_by_count":10,"area":"lr"},{"id":"2604.01259","title":"Bench2Drive-VL: Benchmarks for Closed-Loop Autonomous Driving with Vision-Language Models","created":"2026-04-01","cited_by_count":10,"area":"mllm"},{"id":"2505.19516","title":"DiffE2E: Rethinking End-to-End Driving with a Hybrid Action Diffusion and Supervised Policy","created":"2025-05-26","cited_by_count":9,"area":"driving"},{"id":"2506.07725","title":"ETA: Efficiency through Thinking Ahead, A Dual Approach to Self-Driving with Large Models","created":"2025-06-09","cited_by_count":9,"area":null},{"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":"2603.01441","title":"Unifying Language-Action Understanding and Generation for Autonomous Driving","created":"2026-03-02","cited_by_count":9,"area":"vla"},{"id":"2604.10856","title":"BridgeSim: Unveiling the OL-CL Gap in End-to-End Autonomous Driving","created":"2026-04-12","cited_by_count":9,"area":"driving"},{"id":"2506.10145","title":"RoCA: Robust Cross-Domain End-to-End Autonomous Driving","created":"2025-06-11","cited_by_count":8,"area":"driving"},{"id":"2512.17370","title":"TakeAD: Preference-based Post-optimization for End-to-end Autonomous Driving with Expert Takeover Data","created":"2025-12-19","cited_by_count":8,"area":"driving"},{"id":"2311.18636","title":"End-to-end Autonomous Driving using Deep Learning: A Systematic Review","created":"2023-08-27","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":"2509.15968","title":"CoReVLA: A Dual-Stage End-to-End Autonomous Driving Framework for Long-Tail Scenarios via Collect-and-Refine","created":"2025-09-19","cited_by_count":7,"area":"driving"},{"id":"2511.19914","title":"CoC-VLA: Delving into Adversarial Domain Transfer for Explainable Autonomous Driving via Chain-of-Causality Visual-Language-Action Model","created":"2025-11-25","cited_by_count":7,"area":"driving"},{"id":"2511.21584","title":"Model-Based Policy Adaptation for Closed-Loop End-to-End Autonomous Driving","created":"2025-11-26","cited_by_count":7,"area":"driving"},{"id":"2409.18053","title":"DualAD: Dual-Layer Planning for Reasoning in Autonomous Driving","created":"2024-09-26","cited_by_count":6,"area":"lr"},{"id":"2505.00284","title":"LightEMMA: A Longitudinal Evaluation of Vision-Language Models for Autonomous Driving","created":"2025-05-01","cited_by_count":6,"area":"mllm"},{"id":"2510.23205","title":"VR-Drive: Viewpoint-Robust End-to-End Driving with Feed-Forward 3D Gaussian Splatting","created":"2025-10-27","cited_by_count":6,"area":"driving"},{"id":"2601.11475","title":"Generative Scenario Rollouts for End-to-End Autonomous Driving","created":"2026-01-16","cited_by_count":6,"area":"vla"},{"id":"2410.08616","title":"Dual-AEB: Synergizing Rule-Based and Multimodal Large Language Models for Effective Emergency Braking","created":"2024-10-11","cited_by_count":5,"area":"mllm"},{"id":"2502.07631","title":"Divide and Merge: Motion and Semantic Learning in End-to-End Autonomous Driving","created":"2025-02-11","cited_by_count":5,"area":"driving"},{"id":"2505.06746","title":"M3CAD: Towards Generic Cooperative Autonomous Driving Benchmark","created":"2025-05-10","cited_by_count":5,"area":null}],"next_cursor":"100"}