AUTOPILOT-VQA

AUTOPILOT-VQA: Incident-centric dashcam benchmark for evaluating VLMs on safety-critical driving scenarios

Researchers introduce AUTOPILOT-VQA, a visual question answering benchmark focused on real-world driving incidents and near-incidents captured by dashcams. The benchmark covers safety-relevant categories including weather, road conditions, accident occurrence, impact location, and avoidability reasoning, pushing models beyond object recognition toward temporally grounded safety-aware reasoning. It is released as part of the AUTOPILOT competition at CVPR 2026 and targets evaluation of vision-language models in autonomous driving contexts.