Highway tunnel illumination brightness rapid detection device and method

Abstract

The invention provides a highway tunnel illumination brightness rapid detection device and method. The device includes a vehicle body. A vehicle bracket is arranged at the front end of the top of thevehicle body. Three line scanning vision sensors are transversely arranged on the vehicle bracket, and the three line scanning vision sensors are respectively used for collecting gray images of the pavement, the left side wall and the right side wall of a tunnel by means of line scanning imaging. A surface scanning vision sensor is arranged on the front windshield of the vehicle body, and the surface scanning vision sensor is used for collecting a driving view image of the driver. The three line scanning vision sensors and the surface scanning vision sensor are connected with an industrial personal computer. Image data is continuously and rapidly collected in the process of driving in a tunnel, and thus, the pavement brightness, the side wall brightness and the driver's driving field brightness can be accurately measured. Therefore, traffic congestion and safety problems caused by a closed or a semi-closed tunnel are avoided, and the time cost and manpower cost for illumination detection are reduced.

Description

technical field [0001] The invention relates to the technical field of road tunnel lighting brightness detection, in particular to a device and method for quickly detecting road tunnel lighting brightness. Background technique [0002] Highway tunnels are special road sections for highway operation, and the incidence of traffic accidents and the severity of accident consequences are significantly higher than those of ordinary road sections. Because tunnel lighting plays an important role in the safe operation of tunnel traffic, it has been paid more and more attention by people. Road surface brightness is the main indicator of tunnel lighting brightness detection, and the detection methods are generally divided into two categories: lighting test algorithm and direct brightness test method. [0003] The lighting test conversion method is to draw grid points in the sampling interval of each lighting road section, manually place an illuminance meter point by point to measure t...

AI Technical Summary

Problems solved by technology

[0004] First, long-term measurement in closed or semi-closed tunnel traffic will result in high social and human costs and high traffic safety risks;

[0005] Second, only the detection results of the sampling interval can be obtained, and the lighting conditions of the entire lighting section and the entire tunnel cannot be covered;

[0006] Third, from the conversion of illuminance to brightness, a unified empirical conversion coefficient is used for road surfaces in different conditions, resulting in large actual errors

[0012] Second, how to seamlessly splice the continuously cap

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