Driving behavior detection in intelligent vehicle management
In the context of intelligent transportation system,the innovation of vehicle management mode is very important to improve traffic safety and management efficiency.A deep learning-based detection method is proposed for bad behaviors in driving.By introducing and improving the YOLOV5 algorithm,the bad behaviors of drivers can be detected in real time,thus reducing the risk of traffic accidents.The experimental results show that the proposed algorithm can effectively improve the detection accuracy of bad driving behavior.This vehicle management model innovation can provide reference for the future development of intelligent transportation system.
deep learningdriving behaviorvehicle management modeattention mechanism
NETL
NSTL
万方数据
维普
