A Review of Driver Fatigue Detection: Progress and Prospect
Fan Liua, Xueyi Lib, Tanyue Lvb, Feng Xub
- aNantong Ocean and Coastal Engineering Research Institute, Hohai University, Nantong, China
- bCollege of Computer and Information, Hohai University, Nanjing, China
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Abstract
Fatigue driving has become one of the main causes of road traffic accidents which threatens people's life and property safety seriously. This paper mainly reviews the research status and development trends of driver fatigue detection technology where the fatigue detection based on driver's physiological signals and behavior characteristics, vehicle's running status and information fusion are respectively studied and compared. In addition, we also study two new trends in this field in recent years: fatigue detection based on RGB-D camera and deep learning. Then, the idea of using both RGB-D camera and deep learning for driver fatigue detection is also discussed.