AIBullisharXiv – CS AI · May 127/10
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GuardAD: Safeguarding Autonomous Driving MLLMs via Markovian Safety Logic
Researchers introduce GuardAD, a safety framework that enhances autonomous driving systems using multimodal large language models (MLLMs) by incorporating Markovian logic to detect and prevent accidents. The model-agnostic safeguard reduces accident rates by 32% while improving task performance, combining neuro-symbolic logic with dynamic action revision rather than simple action veto mechanisms.