Autonomous Driving Benchmarks

Overview

The field studies how to measure autonomous vehicles’ abilities in perception, motion prediction, planning, and interaction, including safety-critical and rare events. It uses real-world datasets such as nuScenes and Waymo alongside simulated settings such as CARLA, with both open-loop trajectory metrics and closed-loop tests of complete driving behavior. Benchmark approaches increasingly probe long-tail scenarios, weather and geographic shifts, cooperative driving, and vision-language model reasoning. A central open tension is that strong open-loop scores may not translate to safe closed-loop driving, so evaluation must use metrics and protocols that reflect real behavior without rewarding misleading proxies.

Latest papers

CardsList

140 papers19 papers in the last four weeks, down 24% on the four weeks before. 0.1% of all new papers.

  1. Road Infrastructure Perception for Autonomous Driving: Taxonomy, Representations, Tasks, and Challenges

    Oct 24, 2026Guoyang Zhao, Weiqing Qi, Kai Zhang +5Autonomous Driving PerceptionAutonomous Driving Benchmarks

  2. STRIDE: Evaluating Spatiotemporal Reasoning in Driving Edge Cases

    Oct 16, 2026Lieqi Liu, Rui gao, Jia-Chen Gu +6Autonomous Driving BenchmarksSpatiotemporal Reasoning

  3. Comfortably Stuck: Evaluation Pitfalls in Bench2Drive's Closed-Loop Protocol

    Oct 15, 2026Emad Aghajanzadeh, Thomas Schwarzfischer, Moritz Thoma +5Autonomous Driving BenchmarksBenchmark Design

  4. SafeDriveVLA: Navigation-Conditioned World Model Dreaming for Conflict-Aware End-to-End Autonomous Driving

    Oct 14, 2026Shaoyuan Xie, Zihan Zhang, Jingxuan Wang +6Autonomous DrivingEnd-to-End Autonomous Driving

  5. Language2Drive: Do Vision-Language-Action Models Really Follow the Instructions in Autonomous Driving?

    Oct 12, 2026Zihan You, Zehua Fan, Wenqi Lyu +19Vision-Language-Action ModelsAutonomous Driving Benchmarks

  6. Behavioral Safety Assessment towards Large-scale Deployment of Autonomous Vehicles, Part I: Methodology

    Oct 6, 2026Henry X. Liu, Tinghan Wang, Xintao Yan +6Autonomous Driving BenchmarksAutonomous Driving Safety Evaluation

  7. Radar2Plan: Benchmarking 4D Radar for End-to-End Open-Loop Ego-Trajectory Planning

    Oct 5, 2026Ling Yao, Yichun Xiao, Jin Jin +2Autonomous Driving BenchmarksCamera-Radar Fusion

  8. Answer with Evidence: Consistency-Aware Grounded Visual Question Answering for Roadside Traffic Scenes

    Oct 4, 2026Runwei Guan, Rongsheng Hu, Shangshu Chen +10Autonomous Driving BenchmarksVisual Question Answering

  9. Weather-Aware Domain Adaptation for Street-View Weather Recognition

    Oct 1, 2026Hossein Maghsoumi, George Atia, Yaser P. FallahMulti-Source Domain AdaptationAutonomous Driving Benchmarks

  10. TrafficSignBench: Rule-Centric Closed-Loop Evaluation of Traffic-Sign Compliance in Autonomous Driving

    Sep 29, 2026Victoria Smirnova, Viktoriia Zinkovich, Gregorii Bukhtuev +4Autonomous Driving BenchmarksAutonomous Driving Safety Evaluation

  11. ExceptionDrive: A Planning-Oriented Counterfactual Corner-Case Benchmark for Autonomous Driving

    Sep 29, 2026Ziyi Luo, Zhe Sun, Yehao Lu +5Autonomous Driving BenchmarksAutonomous Driving Safety Evaluation

  12. VehicleArena: A Realistic Urban Environment for Multi-Agent Driving

    Sep 28, 2026Jie Yang, Jiajun Chen, Jiazheng Zhou +4Autonomous Driving BenchmarksAutonomous Driving

  13. When the Score Becomes the Target: Rethinking Metric Validity in Autonomous Driving

    Sep 28, 2026Morui Zhu, Deyuan Qu, Qi Chen +2Autonomous Driving BenchmarksReward Hacking

  14. AevaScenes: An FMCW LiDAR Dataset and Benchmark for Long-Range Perception

    Sep 27, 2026Gautham Narayan Narasimhan, Heethesh Vhavle, Kumar Bhargav Viswanatha +2Scene Flow EstimationLidar-Based 3D Object Detection

  15. When an Evaluation Rule Writes Training Labels: Measuring Human-Reference Forgiveness in NAVSIM

    Sep 27, 2026Jiaxuan Guo, Jingxin Yang, Jiaqi Ye +4Autonomous Driving BenchmarksLearning with Noisy Labels

  16. SV2V-RSim: A Comprehensive Benchmark for Self-Selective V2V Cooperative Perception with Near-Realistic Data

    Sep 26, 2026Yulu Wu, Chao Wei, Jujun Cheng +6Cooperative PerceptionAutonomous Driving Datasets

  17. One Perception, All Maneuvers: Directional Traffic Signal Understanding for Maneuver-Level Signal Intent Prediction

    Sep 26, 2026Ang Zou, Runzhe Zheng, Zhigang li +5Autonomous Driving PerceptionIntelligent Transportation Systems

  18. CausalDriveBench: Evaluating Causal Reasoning in Vision-Language-Action Models for Autonomous Driving

    Sep 26, 2026Narendiran Chembu, Navvrat Rao, Shreedhar Shreeshail Kodate +10Reasoning for VLA ModelsVision-Language-Action Models

  19. Autonomous Driving Research Requires a Community-Driven Data Paradigm

    Sep 25, 2026Jinsu Yoo, Zanming Huang, Katie Z Luo +5Autonomous Driving DatasetsAutonomous Driving

  20. DriveHierarchy: A Benchmark for Diagnosing VLM Driving Capabilities from Open-Loop Understanding to Closed-Loop Execution

    Sep 25, 2026Chengkai Xu, Jiaqi Liu, Yicheng Guo +2Autonomous Driving BenchmarksVLMs for Autonomous Driving

  21. TrafficImag: A Benchmark for Counterfactual Roadside Traffic Video Generation

    Sep 25, 2026Xiangyu Li, Tianyi Wang, Zhihao Dou +2Video Generation EvaluationCausal Counterfactual Generation

  22. BranchDrive: A Branch-Structured Dataset for Action-Conditioned Driving Prediction

    Sep 23, 2026Feeza Khan Khanzada, Sudarshan Sridhar, Jaerock KwonAutonomous Driving DatasetsAutonomous Driving Benchmarks

  23. DreamStream: Towards Policy-Oriented Generative Simulation for End-to-End Driving

    Sep 22, 2026Ziyang Leng, Sicheng Mo, Seth Z. Zhao +4Autonomous Driving BenchmarksEnd-to-End Autonomous Driving