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News/From Segments to Scenes: Temporal Understanding for Agentic Autonomous Driving via Vision-Language Models
arxiv
PublishedJune 4, 2026 at 4:00 AM

From Segments to Scenes: Temporal Understanding for Agentic Autonomous Driving via Vision-Language Models

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arXiv:2512.05277v4 Announce Type: replace-cross Abstract: Vision-Language Models (VLMs) are increasingly deployed as the perception and reasoning backbone of autonomous agents acting in the wild, with autonomous driving (AD) being one of the most safety-critical instances. Reliable temporal understa

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