A new dashcam video question-answering benchmark reveals that top vision-language models plateau at 66% accuracy when reasoning about safety-critical driving incidents.
Computer vision for autonomous vehicles: Prob- lems, datasets and state of the art.Foundations and Trends in Computer Graphics and Vision, 12(1–3):1–308, 2017
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AUTOPILOT VQA: Benchmarking Vision-Language Models for Incident-Centric Dashcam Understanding
A new dashcam video question-answering benchmark reveals that top vision-language models plateau at 66% accuracy when reasoning about safety-critical driving incidents.