Lane departure frequency-based method for evaluating state of fatigue of long-distance bus driver

Abstract

The invention belongs to the technical field of vehicle safety and relates to a lane departure frequency-based method for evaluating state of fatigue of a long-distance bus driver. A camera, a single-chip microcomputer, a data line and a vehicle audio system are provided. The method includes: transmitting image information acquired by the camera to the single-chip microcomputer through signals; allowing the single-chip microcomputer to analyze the acquired image information and detect the positions of two edges of a vehicle, the position of the edge of a left lane and the position of the edge of a right lane; calculating distances from the two edges of the vehicle to the edge of the left lane and the edge of the right lane; recording the frequency of lane departure occurring in a period; judging the state of fatigue of the driver according to detected data. Compared with the prior art, the method has the advantages that equipment installation positions and a fatigue judging algorithm are greatly modified, the state of the driver is monitored without affecting the driver's normal driving, monitoring is real-time, corresponding voice prompts are provided, and traffic accidents caused by fatigue can be effectively avoided.

Description

technical field [0001] The invention belongs to the technical field of automobile safety, and in particular relates to an evaluation method of a driver's driving behavior. Background technique [0002] In recent years, intelligent transportation has developed rapidly, and intelligent system monitoring can effectively prevent traffic accidents, casualties and property losses. The law of our country stipulates that the longest continuous driving time of drivers during long-distance driving shall not exceed 4 hours. However, due to insufficient rest time, poor health or long continuous working hours, drivers often experience driving fatigue within 4 hours. Therefore, monitoring the fatigue state of long-distance bus drivers has become an urgent problem to be solved in intelligent transportation. [0003] The method of monitoring the fatigue state of the driver is mainly to use EEG (electroencephalogram), ECG (electrocardiogram), eyelid closure, facial recognition, steering whe...

AI Technical Summary

Problems solved by technology

[0003] The method of monitoring the fatigue state of the driver is mainly to use EEG (electroencephalogram), ECG (electrocardiogram), eyelid closure, facial recognition, steering wheel grip and other indicators to monitor and judge. These methods need to place patches and other devices on the driver , which has a great influence on the driver in actual driving, and it is difficult to realize real-time monitoring; and in assisted driving, the lane departure warning based on monocular vision, this method installs a camera in the center of the front windshield of the vehicle to obtain the image of the road ahead, Using image processing to judge the degree of pedestrians, vehicles ahead, obstacles and lane departure, this method belongs to prompting when it has already occurred, and cannot evaluate the driver's state in combination with the entire long-distance driving process. no mature conclusion

Images