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A system and method for detecting active obstacles of trains in tunnels based on lidar

An obstacle detection and lidar technology, applied in radio wave measurement systems, measurement devices, electromagnetic wave re-radiation and other directions, can solve the problems of few spatial features, difficult to achieve real-time positioning, and inability to locate, and achieves good independence and detection. Stable results and flexible effects

Active Publication Date: 2022-06-28
CASCO SIGNAL
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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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  • A system and method for detecting active obstacles of trains in tunnels based on lidar
  • A system and method for detecting active obstacles of trains in tunnels based on lidar
  • A system and method for detecting active obstacles of trains in tunnels based on lidar

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Embodiment Construction

[0080] The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, but not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative work shall fall within the protection scope of the present invention.

[0081] The invention uses the laser point cloud to directly identify the track area, which can effectively identify and identify the track area in front of the train, establish a safe running space for the train, and then identify obstacles, which is of great significance to the active obstacle avoidance of subway trains.

[0082] The content of the present invention is mainly a train active collision avoidance system based on lidar sensors. The...

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Abstract

The invention relates to a laser radar-based active obstacle detection system and method for trains in tunnels. The system includes a laser radar, a vehicle-mounted host, a network switch, a display device, an alarm device and a braking device; the vehicle-mounted host passes through the network switch Respectively connect the lidar and the display device at the front of the car, and the on-board host is respectively connected to the alarm device and the braking device through the digital output interface; The spatial characteristics of the track area, and detect the obstacles in front of the train based on the identified track area. Compared with the prior art, the present invention has the advantages of simple deployment, light structure, low cost, good real-time performance, stable and accurate detection results, safety and reliability, and the like.

Description

technical field [0001] The invention relates to the field of autonomous detection and protection of rail traffic, in particular to a system and method for detecting active obstacles of trains in tunnels based on laser radar. Background technique [0002] With the rapid development of subway technology and the denser and more complex urban subway traffic network, the speed of subway operation is getting faster and the degree of automation is getting higher and higher. Require. At present, for the subway signal system, from the traditional driver driving to the current automatic driving, it is mainly to follow the instructions to drive. , but for some unexpected special scenarios, there will still be certain security risks. In recent years, there have also been some accident cases, such as the accident of the train locomotive being damaged due to the unauthorized piling by the external construction unit to penetrate the tunnel; the accident of the subway vehicle hitting the ...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01S17/931
CPCG01S17/931
Inventor 阳扬孙军峰蒋耀东崔洪州李云刘涛
Owner CASCO SIGNAL
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