Active speed limiting method based on fatigue state of a driver

Abstract

An active speed limiting method based on the fatigue state of a driver comprises: monitoring the fatigue level of the driver in real time; when the fatigue level of the driver is mild fatigue driving,sending out a sound-light alarm signal to remind the driver that the driver is in a fatigue driving state; when the fatigue level of the driver is mild fatigue driving, intercepting an accelerator opening value signal sent to the vehicle-mounted computer ECU by the accelerator pedal position sensor in real time, and collecting the real-time speed of the vehicle; when the real-time speed of the vehicle is smaller than or equal to the preset limiting speed, forwarding the intercepted accelerator opening value signal to a vehicle-mounted computer ECU in real time; and when the real-time speed ofthe vehicle is larger than the preset limiting speed, sending an accelerator opening value signal corresponding to the limiting speed to the vehicle-mounted computer ECU. Compared with emergency braking in the prior art, the speed of the vehicle is gradually reduced to be within the limited speed, and therefore the problem that in the prior art, serial rear-end collisions are possibly caused by emergency braking is solved.

Description

technical field [0001] The invention relates to the field of emergency braking, in particular to an active speed limiting method based on the driver's fatigue state. Background technique [0002] According to data from the National Bureau of Statistics, the number of traffic accidents in my country has exceeded 120,000 in the past five years, among which truck traffic accidents are particularly serious. People are injured, the accident rate of trucks is higher than that of ordinary motor vehicles, and the losses caused are also higher than the average level. Among them, traffic accidents caused by fatigue driving cause great loss to people's life and property safety every year. Various studies show that in all road accidents, about 20% are related to fatigue, and on some roads, it is as high as 50%. The results of a sample survey of freight vehicle drivers by relevant departments in our country show that: 84% of freight vehicle drivers drive for more than 8 hours a day, 40% ...

AI Technical Summary

Problems solved by technology

At present, the single fatigue driving detection method on the market has many disadvantages. For example, when analyzing driving behavior characteristics, there are many types of bus data and a large amount of data. It is extremely difficult to identify and extract the characteristic behavior of fatigue driving, and each driver has different driving habits. This leads to the inability to intelligently recognize; using the method of facial state recognition, it can effectively recognize the driver's actions such as closing eyes, yawning, and making a phone call, but it cannot work normally when the light environment in the cabin is poor or the camera is blocked

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