Trackside equipment state detection method and system

Abstract

The embodiment of the invention provides a trackside equipment state detection method and system. The trackside equipment state detection method comprises the steps of determining positioning information of a train in a whole-line electronic map according to collected real-time point cloud data; according to the information, positioning the trackside equipment in front of a train in the whole-lineelectronic map; when the distance between the trackside equipment and the train is a preset distance, converting the three-dimensional coordinate area of the trackside equipment into a two-dimensional detection area of the camera image; and detecting the state of the trackside equipment in the two-dimensional image area to obtain a state detection result. According to the embodiment of the invention, the accurate positioning of the rail transit train is realized by matching the whole-line electronic map with the point cloud data scanned by a laser radar, so that the detection time and the detection image area of machine vision are accurately set according to the positioning of the train and the position of trackside equipment marked in the whole-line electronic map in advance; therefore,the detection range of machine vision is greatly reduced, the detection precision is improved, and the false alarm rate and missing report rate are reduced.

Description

technical field [0001] The invention relates to the technical field of rail transit, in particular to a method and system for detecting the status of trackside equipment. Background technique [0002] In the process of gradually promoting assisted driving systems and unmanned driving systems in the rail transit industry, accurate detection and identification of the status of trackside equipment is an important issue to ensure the safe operation of rail transit trains. Taking the signal machine as an example to illustrate, when the system recognizes that the signal machine is in a prohibited state, the train should strictly abide by it, otherwise a serious collision accident will occur. The difficulty of signal state detection is that it is easily interfered by other light sources along the track (such as street lamps, car lights, and other non-signal lights), which makes accurate identification impossible. [0003] At present, the assisted driving system and unmanned drivin...

AI Technical Summary

Problems solved by technology

[0006] The embodiment of the present invention provides a method and system for detecting the state of trackside equipment, which is used to solve the defect of poor detection accuracy caused by relying solely on machine vision to detect the state of signal machines in the prior art, so as to realize fast, efficient and accurate equipment state detection

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