Research on driver behavior recognition method based on convolutional neural network

doi:10.16265/j.cnki.issn1003-3033.2019.10.003

Abstract

Abstract: In order to explore identification of unsafe driving behaviors of car drivers, concrete studies were carried out on CNN-based driver behavior recognition algorithm building on brief analysis of existing driver behavior recognition methods. CNN forward propagation and back propagation processes were explored and a CNN network architecture that deals with driver behavior recognition was presented. The results show that this method achieves an average recognition rate of 97.13% on state-farm driver behavior dataset, and compared with traditional algorithm, it has improved 3.62% on average in extracting histogram of oriented gradient(HOG) feature and using random forest(RF) classification for identification.

Key words: driver behavior recognition, convolutional neural network (CNN), forward propagation, back propagation, deep learning, driving safety

CLC Number:

X910

XU Dan, DAI Yong, JI Junhong. Research on driver behavior recognition method based on convolutional neural network[J]. China Safety Science Journal, 2019, 29(10): 12-17.

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