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Tower type automatic recognition method based on laser LiDAR point cloud

An automatic recognition and tower technology, applied in character and pattern recognition, instruments, computer parts, etc., can solve the problems of increasing the workload of data processing personnel, not conforming to the development trend of laser data, etc., and achieve the effect of reducing the degree of participation

Active Publication Date: 2021-06-01
GUIZHOU POWER GRID CO LTD
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Problems solved by technology

However, with the development of laser LiDAR technology, staff often need to quickly process point cloud data of hundreds of towers. At this time, using manual visual methods to judge the tower type increases the workload of data processing personnel, and does not meet the requirements of laser data processing automation. development trend

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  • Tower type automatic recognition method based on laser LiDAR point cloud

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Embodiment Construction

[0029] Hereinafter, preferred embodiments of the present invention will be described in detail with reference to the accompanying drawings. It should be understood that the preferred embodiments are only for illustrating the present invention, but not for limiting the protection scope of the present invention.

[0030] Such as figure 1 As shown, a kind of tower type automatic recognition method based on laser LiDAR point cloud of the present invention comprises the following steps:

[0031] Step S1: performing tower orientation;

[0032] Step S2: Perform hierarchical extraction: layer the tower point cloud from top to bottom according to the set step size, calculate the maximum projection length of each layer on the orientation plane, and construct a structure with the height as the independent variable and the projection length as the dependent variable the projection function;

[0033] Step S3: feature matching, taking the corresponding tower type as the automatic recogni...

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Abstract

The invention discloses an automatic tower type recognition method based on a laser LiDAR point cloud. The method comprises the following steps: S1, carrying out tower orientation; s2, carrying out layered extraction; s3, carrying out feature matching; and S4, carrying out similarity test. Compared with a traditional visual discrimination method, the method can reduce the manual participation degree in point cloud data processing, and provides basic data for tower feature point extraction and automatic modeling.

Description

technical field [0001] The invention relates to the technical field of point cloud data processing, in particular to a method for automatically identifying tower types based on laser LiDAR point clouds. Background technique [0002] With the continuous advancement of digitization and intelligence in the whole life cycle of overhead transmission lines, the requirements for three-dimensional reproduction of overhead transmission line channels continue to increase. At present, airborne laser LiDAR technology is a general method for restoring high-precision 3D scenes of overhead transmission line channels, and the key work is 3D modeling of towers. The tower type is very important tower modeling data, and it is the premise of extracting the feature points of the tower. The traditional method is to judge visually by professional staff. However, with the development of laser LiDAR technology, staff often need to quickly process point cloud data of hundreds of towers. At this time...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/62
CPCG06V20/41G06V10/751G06F18/22G06F18/214Y02A90/10
Inventor 时磊虢韬徐梁刚陈科羽陈凤翔杨渊赵建王迪余江顺龙新
Owner GUIZHOU POWER GRID CO LTD
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