Fatigue driving detection-oriented steering wheel operation feature extraction method

Abstract

The invention discloses a fatigue driving detection-oriented steering wheel operation feature extraction method. The method includes the following steps that: statistical analysis and comparison are performed on driver fatigue sample variables; the significance of difference of fatigue discrimination indexes under different fatigue levels is tested according to analysis results, and significance indexes are selected to construct fatigue discrimination indexes; with the classification performance of a support vector machine algorithm adopted as evaluation criteria, and a sequential floating forward selection algorithm adopted as a search strategy, a fatigue discrimination index approximate optimal selection algorithm is established, and an index system of driver fatigue state detection is established; with the index system of the driver fatigue state detection obtained through screening adopted as input, a driver fatigue state detection model can be built based on the support vector machine algorithm; and a driver fatigue state detection model considering individual difference and a fatigue detection model in lane deviation of vehicles are built based on the support vector machine algorithm. The method is suitable for generalization ability of different drivers and different operation states and can improve the recognition accuracy of the fatigue detection model.

Description

technical field [0001] The invention relates to the technical field of driver fatigue state detection, in particular to a steering wheel operation feature extraction method for fatigue driving detection. Background technique [0002] With the increasing number of automobiles and the improper extension of expressways, the speed of vehicles is getting faster and faster, the situation of road traffic safety is becoming increasingly severe, and automobile traffic accidents are increasing, which not only cause a large number of casualties and huge economic losses, but also lead to many social problems. Surveys show that fatigue driving is one of the most important hidden dangers of traffic safety. When a driver is fatigued, his ability to perceive the surrounding environment, driving judgment ability and ability to control the vehicle are greatly reduced, and traffic accidents are prone to occur. With the enhancement of people's safety awareness and the advancement of science an...

AI Technical Summary

Problems solved by technology

[0009] Driving operation behavior such as steering wheel operation is also closely related to the fatigue state, and it is less difficult in data collection and analysis. It has become one of the important fatigue detection methods, but the current screening of steering wheel operation parameters is relatively vague, and there is no specific method for this type of fatigue detection. Therefore, the method of judging fatigue driving based on driving operation behavior still has no significant effect

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