Drive-P2D: A Progressive Perception-to-Decision Benchmark for VLMs in Autonomous Driving 事件

Drive-P2D: A Progressive Perception-to-Decision Benchmark for VLMs in Autonomous Driving arXiv:2601.14702v2 Announce Type: replace-cross Abstract: Autonomous driving requires reliable perception and safe decision-making in complex scenarios. Recent vision-language models (VLMs) demonstrate reasoning and generalization abilities, opening new possibilities for autonomous driving; however, existing benchmarks often evaluate perception and decision-making separately, limit failure analysis with cho