A research survey of driver drowsiness driving detection
The detection of driver drowsiness was crucial for traffic safety,as effective drowsiness recognition technology could sig-nificantly reduce traffic accidents caused by drowsiness.A systematic review of driver drowsiness detection methods was conducted.The concept of driver fatigue and the necessity of its detection were introduced.The behavioral characteristics of drowsiness driving were elaborated upon and categorized.A detailed summary of several widely used public datasets for drowsiness driving was provid-ed.By analyzing and comparing the characteristics,applicability,and limitations of each dataset,valuable resources were offered for subsequent research.Driver drowsiness detection methods based on facial features,physiological signal features,vehicle characteris-tics,and multi-feature fusion were comprehensively analyzed,with the strengths and weaknesses of each approach being compared.The challenges and issues faced in the field of driver drowsiness detection were summarized,and perspectives on future directions of development were offered.
NETL
NSTL
万方数据
