AINeutralarXiv – CS AI · 15h ago6/10
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Drive-P2D: A Progressive Perception-to-Decision Benchmark for VLMs in Autonomous Driving
Researchers introduce Drive-P2D, a comprehensive benchmark for evaluating vision-language models in autonomous driving that tests perception and decision-making across progressive complexity levels. The benchmark addresses gaps in existing evaluation methods by separating reasoning analysis from objective answer scoring and identifying specific failure modes that could improve VLM safety for real-world deployment.