A track obstacle detection system based on machine vision

Abstract

A machine vision-based track obstacle detection system belongs to the field of railway safety. The black-and-white video image is obtained by the on-board camera installed on the train head, and the track is judged as straight or curved according to whether the camera is overtraveled. The curve uses a fixed high-definition camera and a wireless transmitter to receive wireless images to realize manual detection of the curve. Quasi-straight track will analyze the acquired real-time image sequence, adopt the track edge extraction algorithm based on top-hat transformation and Otsu threshold, combine the inter-frame difference method based on mathematical morphology improvement with the background difference method and the corner feature matching tracking algorithm, real-time The obstacles in front are divided into two categories: non-dangerous (stationary small obstacles, moving obstacles that quickly cross the track) and dangerous (stationary large obstacles, moving obstacles that affect the passage of trains). The invention can quickly process track images, can extract track edges more effectively and accurately, and has higher detection accuracy for track obstacles.

Description

technical field [0001] The invention belongs to the field of railway safety, and in particular relates to a machine vision-based track obstacle detection system. Background technique [0002] In recent years, with the large-scale speed increase of trains, the change of train operation mode, and the obvious increase of passenger and freight volume, higher requirements have been put forward for the safety and reliability of railway transportation. At present, although there are relatively mature products abroad in the research of orbital obstacles, most of the product design concepts are to send some form of signal (mainly including laser, radar, magnetic induction, ultrasonic, etc.) to the direction to be detected. And analyze the signal detected and reflected by the sensor as the basis for judging and identifying obstacles. Among these detection methods, for example, the use of ultrasonic waves for railway track detection can detect and identify the position of the target o...

AI Technical Summary

Problems solved by technology

However, the above-mentioned system is only good for the detection of individual specific substances, and it still cannot play its role in the field of automatic detection and identification of pedestrians, falling rocks and vehicles in front of the train.

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