Fatigue driving reminding device and method

Abstract

The invention discloses a fatigue driving reminding device. The fatigue driving reminding device comprises a fatigue state detection assembly, a fatigue reminding interaction assembly and a communication assembly. The fatigue state detection assembly collects and processes an image of a driver and outputs driving characteristic information according to the image of the driver. The fatigue reminding interaction assembly is connected to the fatigue state detection assembly and generates fatigue level information according to the driving characteristic information. The communication assembly is connected with the fatigue reminding interaction assembly and a vehicle feedback assembly, the communication assembly sends fatigue level information generated by the fatigue reminding interaction assembly to the vehicle feedback assembly, and the vehicle feedback assembly gives a corresponding feedback prompt to the driver according to the fatigue level information. The vehicle feedback assembly is various original vehicle-mounted parts on a vehicle. The invention further discloses a fatigue driving reminding method. Various sensory stimuli including auditory sense, visual sense, smell sense and touch sense can be provided for relieving fatigue according to the real-time state of a driver.

Description

technical field [0001] The invention relates to the technical field of automobile intelligence, and more specifically, relates to a technology for judging and prompting driver's fatigue driving behavior. Background technique [0002] During the use of automobiles, fatigue driving is one of the major hidden dangers of traffic safety. When the driver is in a state of fatigue, the ability to perceive and judge the surrounding environment and the ability to control the vehicle are reduced to varying degrees, and traffic accidents are extremely prone to occur. At present, the in-vehicle fatigue driving detection system mainly uses two methods: one is to judge whether the driver is tired or not by analyzing the driver’s driving behavior such as turning the steering wheel and stepping on the brakes. This method is greatly affected by the driver’s driving habits and has a false positive rate. higher question. The other uses image processing technology to judge fatigue driving base...

AI Technical Summary

Problems solved by technology

However, in the actual driving process, there are often situations where the service area, rest area, inconvenient parking, etc. cannot be parked in time.

In addition, in the state of fatigue, the driver is required to find a service area to stop and rest, but it will increase the risk of driving

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