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Method of extraction and classification of railway catenary based on vehicle lidar

A catenary and railway technology, applied in the direction of instruments, calculations, character and pattern recognition, etc., can solve the problem of low detection efficiency of railway catenary

Active Publication Date: 2022-06-28
SOUTHWEST JIAOTONG UNIV
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  • Abstract
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  • Claims
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Problems solved by technology

[0004] In view of the above-mentioned deficiencies in the prior art, the method for extracting and classifying railway catenary based on vehicle-mounted LiDAR provided by the present invention solves the problem of low efficiency of manual detection of railway catenary

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  • Method of extraction and classification of railway catenary based on vehicle lidar
  • Method of extraction and classification of railway catenary based on vehicle lidar
  • Method of extraction and classification of railway catenary based on vehicle lidar

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Embodiment Construction

[0022] The specific embodiments of the present invention are described below to facilitate those skilled in the art to understand the present invention, but it should be clear that the present invention is not limited to the scope of the specific embodiments. For those skilled in the art, as long as various changes Such changes are obvious within the spirit and scope of the present invention as defined and determined by the appended claims, and all inventions and creations utilizing the inventive concept are within the scope of protection.

[0023] refer to figure 1 , figure 1 A flow chart showing the method for extracting and classifying railway catenary based on on-board LiDAR, as figure 1 As shown, the method includes steps S1 to S3.

[0024] In step S1, the point cloud data of the railway contact network based on the vehicle-mounted LiDAR is obtained, and the non-ground point cloud data is segmented by the clustering segmentation algorithm based on the spatial distance a...

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Abstract

The invention discloses a method for extracting and classifying railway catenary based on vehicle-mounted LiDAR, which includes using a clustering segmentation algorithm based on spatial distance attributes to segment non-ground point cloud data; The data is roughly classified; the point cloud data obtained by the rough classification is clustered using the DBSCAN algorithm, and the number of point clouds in each cluster is counted, and the first three clusters with the largest number of point clouds are retained; three clusters are obtained. The value of each point cloud in the cluster cluster in the Z direction, calculate the Z mean value of each cluster cluster in the Z direction, and use the cluster cluster with the largest Z mean value as the point cloud data of the supporting cable; The cloud data is used as a reference to calculate the Euclidean distance between the point cloud data of the other two clusters and the point cloud data of the bearing cable on the XOY plane; the cluster with the smaller Euclidean distance is used as the contact line point cloud data, and the other cluster Clusters are used as return line point cloud data.

Description

[0001] Technology neighborhood [0002] The invention belongs to the detection technology of railway catenary, in particular to a method for extracting and classifying railway catenary based on vehicle-mounted LiDAR. Background technique [0003] With the rapid development of railway electrification, the reliability and safety of railway traction power equipment is a key research issue. Among them, the traditional railway catenary detection method is as follows: the staff submits the application for the blockade of the skylight line, carries the measuring instrument, and measures the geometric parameters point by point on the line. There are many hidden safety hazards at the measurement site, which brings many difficulties to the prevention and control, and occupies a lot of skylights, and the detection time is long, which has a great impact on railway transportation. SUMMARY OF THE INVENTION [0004] In view of the above deficiencies in the prior art, the method for extrac...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06V10/764G06V10/762G06V10/30G06V10/26G06K9/62
CPCG06V10/30G06F18/23213G06F18/241
Inventor 罗庄张献州陈霄陈铮谭社会
Owner SOUTHWEST JIAOTONG UNIV