An Overview of Machine Learning Methods used in Fatigue Driving Detection

Abstract

Fatigue driving has always been an important factor causing traffic accidents in China and the world. Fatigue driving identification has a good prospect in engineering application and behavior analysis and other fields. Based on the collected literature, this paper first discusses the concept, significance, and key points in the study of fatigue driving. Then, the method of fatigue driving detection based on deep learning and model building is discussed. After introducing the data set, the results of these methods are analyzed and compared, and the possibility of their application is discussed. Finally, this paper introduces the prospect and summary of this research.