Fatigue Driving State Detection Method Based on Lightweight YOLOv7-TMC Network
In order to be more conveniently deployed on mobile devices,the lightweighting of fatigue driving detection models needed to be further implemented.Therefore,a new lightweight network algorithm,YOLOv7-TMC,which combines YOLOv7-Tiny with MobileNet and CBAM,was proposed for fatigue driving state detection.Experimental results indicated that the algorithm proposed in this paper had a significant improvement in accuracy and a faster detection speed,enabling the rapid and accurate capture of fatigue driving behavior by drivers.This provided a driving assistance system with higher detection accuracy and faster speed for subsequent intelligent driving,possessing important application value.
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维普
