Early warning system based on machine vision driving-in-fog road denoter missing and early warning method

Abstract

The invention relates to an early warning system based on machine vision driving-in-fog road denoter missing and an early warning method and belongs to the intelligent vehicle safe auxiliary driving technology field. According to the system and the method, a road traffic denoter identification classifier, a road traffic denoter character classification identification neuron network classifier, a driver fatigue mode classifier, a fog and non-fog image classifier and an image de-fog model are utilized to construct real-time road sign identification early warning strategies. According to the driver sight gazing track, the blinking frequency and a PERCLOS value, a vehicle-mounted loudspeaker emits sound warning of the denoter information and makes the warning sign inforkation display on a vehicle-mounted display screen when a driver is determined to be fatigue or miss the traffic sign information because of carrying out a secondary task in a driving process, moreover, if the weather is determined to be foggy, visual and listening warning is further provided for the driver, and thereby the driver is made to acquire the road traffic denoter information and driving safety early warning on the condition of driving in a foggy day and missing the road denoter.

Description

technical field [0001] The invention mainly relates to the technical field of intelligent vehicle safety assisted driving, and in particular to an early warning system and method for missing road sign boards when driving in foggy weather based on machine vision. Background technique [0002] Traffic signs provide drivers with information such as road conditions and traffic conditions, which is of great significance to reducing the occurrence of road traffic accidents. According to statistics, there are as many as 30 million illegal acts due to failure to follow traffic instructions every year, and traffic accidents caused by drivers not obtaining road sign information account for a considerable proportion of all traffic accidents, and the proportion remains high. A considerable part of the reasons are: the driver missed the road warning signs due to driving fatigue or performing secondary tasks during driving; the poor light at night and the low visibility caused by foggy we...

AI Technical Summary

Problems solved by technology

[0004] The technical problem to be solved by the present invention is to provide an early warning system and method based on machine vision for driving in fog and missing road signs, which is used to solve the problem of driver fatigue driving, missing road signs during driving, or missing road signs due to night driving. Poor light and low visibility in foggy weather lead to drivers not knowing the road traffic environment information, which leads to technical problems of road traffic accidents

[0005] The invention makes up for the following defects of the existing vehicle-mounted GPS navigation system in obtaining road sign information: if the GPS navigation system is not updated in time, there will be navigation errors, slow speed and low accuracy in obtaining information in some unstructured road areas.

Images