Alarm sensitivity detection method and apparatus for driver state early warning system

Abstract

The present invention provides an alarm sensitivity detection method and apparatus for a driver state early warning system. The alarm sensitivity detection method includes a fatigue determining step, a lane keeping ability determination step, a road danger degree determination step and an alarm sensitivity determination step; according to the fatigue determining step, the face of a driver is photographed, the eye and mouth images of the driver are identified through image analysis, and fatigue degree is determined through an algorithm; according to the lane keeping ability determination step, the lane keeping ability of the driver is determined based on steering information and lane change information in vehicle driving information; according to the road danger degree determination step, road danger degree is determined based on road position information and vehicle speed; and according to the alarm sensitivity determination step, the degree of alarm sensitivity is determined according to the fatigue degree, the lane keeping ability and the road danger degree. According to the alarm sensitivity detection method and apparatus for the driver state early warning system of the invention, the alarm sensitivity of the driver state early warning system is detected based on the fatigue degree of the driver, the lane keeping ability and the road danger degree, and therefore, detection accuracy can be improved, and the abnormal driving state of the driver can be monitored and warned in real time, and the safety of vehicle driving can be ensured more effectively.

Description

technical field [0001] The invention relates to the technical field of driver state early warning, in particular to an alarm sensitivity detection method and device for a driver state early warning system. Background technique [0002] On a global scale, traffic accidents have become one of the factors that seriously threaten the safety of people's lives and properties, and the main cause of traffic accidents is driver fatigue driving or distraction for a long time. When the driver is tired, his ability to perceive the surrounding environment, judge the situation and control the vehicle will be greatly reduced, and traffic accidents will easily occur. Therefore, it is a problem to be solved urgently to actively detect the attention state of the driver and effectively warn and remind. [0003] The existing driver fatigue warning system uses technologies such as the driver's EEG, ECG sensor technology, or steering wheel grip sensor to predict whether the driver is in a fatigu...

AI Technical Summary

Problems solved by technology

In this way, when the driver is driving normally, the frequent lane departure alarms caused by not turning on the turn signal will cause the driver to be irritated

[0005] The existing driver fatigue detection and alarm device only sets the alarm sensitivity according to the length of time the driver closes his eyes, but does not change the alarm level in combination with the change of driving risk caused by the change of specific road conditions

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