Localized Conformal Safety Monitoring with Vision-Language Models for Autonomous Driving

Overview

SLLCP calibrates frozen vision-language model safety predictions using scene-relevant experience and label-conditional conformal prediction. The authors evaluate collision-risk detection on CARLA trajectories and state coverage guarantees under exchangeability assumptions.