Laser radar-based in-tunnel train active obstacle detection system and method

Abstract

The invention relates to a laser radar-based in-tunnel train active obstacle detection system and method. The system comprises a laser radar, a vehicle-mounted host, a network switch, display equipment, an alarm device and a brake device, wherein the vehicle-mounted host is connected with a laser radar and a display device which are arranged in front of a vehicle head through a network switch, andthe vehicle-mounted host is connected with an alarm device and a brake device through digital output interfaces; the vehicle-mounted host extracts spatial characteristics of a rail-mounted area in front of the train by processing and analyzing the laser radar point cloud data, and detects obstacles in front of the train according to the identified rail-mounted area. Compared with the prior art, the method has the advantages of being simple in deployment, light in structure, low in cost, good in real-time performance, stable in detection result, accurate, safe, reliable and the like.

Description

technical field [0001] The invention relates to the field of rail transit autonomous detection and protection, in particular to a laser radar-based active obstacle detection system and method for trains in tunnels. Background technique [0002] With the rapid development of subway technology and the increasingly dense and complex urban subway traffic network, the running speed of the subway is getting faster and higher, and the degree of automation is getting higher and higher. Higher requirements are put forward for the safety, reliability and efficiency of the signal system. Require. At present, for the subway signal system, from the traditional driver driving to the current automatic driving, it is mainly to listen to the instructions and drive the train. The train obtains the movement authorization from the dispatch center and then moves the train, and controls the running speed, which can meet the needs of most operations. , but for some unexpected special scenarios, t...

AI Technical Summary

Problems solved by technology

However, most of the subway tunnels are located underground, which cannot be positioned by satellite signals, and the tunnels are generally long pipelines. There are very few spatial features that can be identified from the laser point cloud data, and it is difficult to use SLAM technology to achieve real-time positioning in subway tunnels.

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