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CogSense: A Cognitively Inspired Framework for Perception Adaptation
This paper proposes the CogSense system, which is inspired by sense-making cognition and perception in the mammalian brain to perform perception error detection and perception parameter adaptation using probabilistic signal temporal logic.
Automatic Rule Learning for Autonomous Driving Using Semantic Memory
This paper presents a novel approach for automatic rule learning applicable to an autonomous driving system using real driving data.
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