Abstract
Aiming at the present problems of strong subjectivity and low efficiency of manual push flaw detection vehicle, in order to meet the requirements of high-speed rail detection, this system uses UAV aircraft combined with line structured light technology to realize a track detection system based on multiple sensors. In the method of joint positioning, after coarse positioning of the UAV through satellite positioning, the camera on the UAV is used to identify the image of the track to complete accurate positioning and single-track tracking. The high precision and fast scanning speed of structural light are used to obtain the profile data of rail. The obtained measurement data were calibrated by combining the mathematical model established with the track CAD model to eliminate the influence of the UAV’s self-disturbance on the acquired data and achieve the acquisition of rail wear data. At the same time, the computer vision technology is used to extract the window in the track, and the track intrusion detection is carried out through the analysis of the gray map distribution in the window.
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