Distracted driving behavior early warning method based on cab near-infrared camera

Abstract

The invention relates to a distracted driving behavior early warning method based on a cab near-infrared camera. The method comprises the following steps of (1) face detection of a driver: acquiring the near-infrared image data of a cab scene offline through the vehicle-mounted near-infrared camera, marking the image data face area, and performing the offline training on an Adaboost classifier serving as a face detection classifier, and searching the face interested region by the face detection classifier; (2) dangerous driving behavior detection: based on the face interested region, adding abackground region, and performing the dangerous driving behavior detection by utilizing a deep convolution neural network; (3) dangerous driving behavior early warning: performing the multi-frame confirmation on the dangerous driving behaviors by means of the time sequence data, if the set continuous frame number threshold value reaches is reached, sending a visual early warning signal and/or an auditory early warning signal. By means of the method, the mental dangerous driving behaviors of the driver can be recognized and warned, so that a driver can be reminded to change the distraction behavior immediately, and the driver can keep the driving state in a normal standard, and the driving safety is improved.

Description

technical field [0001] The invention relates to the field of vehicle control, in particular to a method for early warning of distracted driving behavior based on a cab near-infrared camera. Background technique [0002] According to the statistics of road traffic accidents, more than half of the traffic accidents are caused by the driver's dangerous behavior or wrong vehicle operation, however, most of these human accidents are caused by fatigue driving or driver's distracted behavior of. The active safety systems of existing passenger cars and commercial vehicles rarely involve driver behavior analysis and reminder functions, especially for commercial transport vehicles, long-term driving and long-distance driving make the above-mentioned dangerous driving situations more likely to occur. Most existing commercial vehicles do not have a fully functional driver behavior monitoring system. Although some have on-board video and operation recording functions, they do not have f...

AI Technical Summary

Problems solved by technology

Most of the existing commercial vehicles do not have a fully functional driver behavior monitoring system. Although some have on-board video and operation recording functions, they do not have fatigue driving or dangerous driving behavior warning functions, so driving safety cannot be effectively guaranteed

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