Driver fatigue detection method based on multi-source information fusion difference judgment

Abstract

The invention discloses a driver fatigue detection method based on multi-source information fusion difference judgment, and the method comprises the steps: building a fatigue index system based on multi-source driving information, and determining the threshold values of all fatigue indexes in the system; setting a weight coefficient Pi of each fatigue index; calculating a fatigue degree index Fi for the fatigue indexes exceeding the threshold; based on the fatigue degree grading table, determining the fatigue degree according to the calculated fatigue degree index Fi. According to the driver fatigue detection method provided by the invention, multi-dimensional indexes are fused, fusion judgment is carried out based on confidence degrees and risk levels of the indexes, difference evaluationon the driver fatigue degree is realized, and the driver fatigue detection method has the advantages of more comprehensive indexes and more accurate judgment.

Description

technical field [0001] The invention relates to a driver fatigue detection system and method based on multi-source information fusion perception difference judgment, and belongs to the field of automobile safety technology and fatigue driving monitoring. Background technique [0002] Fatigue refers to the human body symptom phenomenon of weakened functional response due to excessive consumption of brain, muscles or other organs. Driving a vehicle in a fatigued state is called fatigue driving. After fatigue, the physiological state of the driver will change and affect the driving behavior, which is very prone to road traffic accidents. [0003] At present, the effective detection of fatigue driving through a variety of technologies and methods has a corresponding theoretical research basis and is also technically feasible. Limitations, low accuracy, serious false positives and false negatives. Fatigue driving monitoring based on driver's facial features is based on continuo...

AI Technical Summary

Problems solved by technology

Fatigue driving monitoring based on the driver's physiological characteristics requires contact measurement, which affects normal driving and the monitoring conditions are harsh

Fatigue driving monitoring based on the driver's operating characteristics and vehicle driving status does not need to add too many hardware devices, and will not interfere with the driver's normal driving. In some working conditions, the accuracy is high, but it is subject to personal habits and Due to the influence of skill differences, vehicle characteristics and road environment, it is impossible to achieve full working conditions and high precision detection

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