AI RESEARCH
VERDI: VLM-Embedded Reasoning for Autonomous Driving
arXiv CS.AI
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ArXi:2505.15925v4 Announce Type: replace-cross While autonomous driving (AD) stacks struggle with decision making under partial observability and real-world complexity, human drivers are capable of applying commonsense reasoning to make near-optimal decisions with limited information. Recent work has attempted to leverage finetuned Vision-Language Models (VLMs) for trajectory planning at inference time to emulate human behavior.