Application of Deep Learning in Dangerous Driving Recognition
This paper expounds the application of deep learning in dangerous driving recognition,including dataset acquisition and preprocessing,creation of dangerous driving behavior labels,image processing and filtering,parameter initialization,VGG16 recognition of dangerous driving behavior,and analysis and comparison of three recognition models.
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