DrivingBench: Can Vision-Language Models Drive a Toyota Corolla?

arXiv:2609.38948 · cs.RO, cs.AI · Submitted 2026-09-30 · Read on arXiv

cs.RO, cs.AI

Submitted: 2026-09-30

Updated: 2026-09-30

Code: https://github.com/aditya-ramabadran/drivingbench_harness_v1

Terminology

• Steering — 56× in this paper · explained in 2 episodes
• Benchmark — 19× in this paper · explained in 2 episodes
• Trace — 15× in this paper · explained in 2 episodes
• In-Context Learning — 6× in this paper · explained in 4 episodes
• Calibration — 5× in this paper · explained in 7 episodes
• Benchmarking — 4× in this paper · explained in 3 episodes
• Failure Modes — 4× in this paper · explained in 3 episodes
• In International Conference on Learning Representations — 4× in this paper
• Alignment — 3× in this paper · explained in 1 episode
• Conference on Computer Vision and Pattern Recognition — 2× in this paper
• International Conference on Robotics and Automation — 2× in this paper
• Accuracy — 1× in this paper · explained in 1 episode
• Action Chunking — 1× in this paper · explained in 1 episode
• Affordance — 1× in this paper · explained in 1 episode
• Agent Harness — 1× in this paper · explained in 2 episodes
• Fine-Tuning — 1× in this paper · explained in 5 episodes
• Generalization — 1× in this paper · explained in 13 episodes
• Grounding — 1× in this paper · explained in 3 episodes
• In European Conference on Computer Vision — 1× in this paper
• Reasoning Traces — 1× in this paper · explained in 3 episodes
• Reinforcement Learning — 1× in this paper · explained in 4 episodes
• Vision-Language Model (VLM) — 1× in this paper · explained in 3 episodes
• alpha — 1× in this paper · explained in 1 episode

Sources

• FrontierMath: A Benchmark for Evaluating Advanced Mathematical Reasoning in AI
• Bench2Drive-VL: Benchmarks for Closed-Loop Autonomous Driving with Vision-Language Models
• Humanity's Last Exam

Related papers

• FMT x: An Efficient and Asymptotically Optimal Extension of the Fast Marching Tree for Dynamic Replanning
• MPCFormer: A physics-informed data-driven approach for explainable socially-aware autonomous driving
• RoboLab: A High-Fidelity Simulation Benchmark for Analysis of Task Generalist Policies
• HRDexDB: A 4D Dexterous Grasping Dataset Across Human and Multiple Robot Embodiments
• APT: Action Expert Pretraining Improves Instruction Generalization of Vision-Language-Action Policies
• Fine-tuning is Not Enough: A Parallel Framework for Collaborative Imitation and Reinforcement Learning in End-to-end Autonomous Driving