In-cabin occupant monitoring system based on improved Yolo, deep reinforcement learning, and multi-task CNN for autonomous driving
Chadia KHRAIEF OULED AZAIZ,
Jessica DACLEU NDENGUE
Abstract:Vehicle in-cabin occupant monitoring system is becoming a crucial feature of the automobile industry and challenging research topic to enhance both vehicle safety, security, and comfort of conventional and future intelligent vehicles. Precise information about the number, position, and characteristics of occupants as well as objects located inside the vehicle must be available. Current industrial systems for seat occupancy detection are based on multiple weight sensors, capacitive sensors, electric field, or u… Show more
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