Power line extracting and fitting method based on in-vehicle LiDAR data

A power line and data technology, applied in the field of power line fitting and extraction, can solve the problem of difficulty in clustering point clouds of a single power line in vehicle LiDAR, and achieve the effects of high practical application value, low price and high data accuracy.

Inactive Publication Date: 2013-12-25
NANJING UNIV
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Problems solved by technology

Therefore, the point cloud processing algorithm for airborne LiDAR data is difficult to directly process the vehicle-mounted LiDAR point cloud, and because the vehicle-mounted LiDAR point cloud is denser and is more blocked by trees, buildings, etc., the power line point cloud present...

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  • Power line extracting and fitting method based on in-vehicle LiDAR data
  • Power line extracting and fitting method based on in-vehicle LiDAR data
  • Power line extracting and fitting method based on in-vehicle LiDAR data

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Embodiment Construction

[0063] The present invention will be further described below in conjunction with the accompanying drawings and specific embodiments.

[0064] In this embodiment, the attached figure 2 The vehicle-mounted LiDAR data shown is used as the initial data extracted from urban power lines. The data is the "SSW Vehicle-mounted Laser Modeling and Measurement System" developed by the Chinese Academy of Surveying and Mapping Sciences (360-degree laser scanning, measuring distance range 3-300m, reflectivity 80%, Point frequency 200,000 points / second) part of the data obtained, the collection time is 2011, using 1:500 topographic map correction. The embodiment area is located near the Nanjing Olympic Sports Center, the size of the area is about 150mX150m, the total number of point clouds is about 4.4 million, and the average point spacing on the power line is about 7cm. The specific implementation of this example adopts the standard C# programming language to realize under the platform of...

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Abstract

Disclosed is a power line extracting and fitting method based on in-vehicle LiDAR data. The method includes the following steps: first, dividing in-vehicle LiDAR point cloud by using volume elements and determining points in all the volume elements, second, removing the volume elements without the power line point cloud according to distribution characteristics of true power lines, third, dividing the power line point cloud acquired by filtration according to power line corridors and initially clustering the power line point cloud with the AutoClust algorithm, fourth, clustering and merging the initial point cloud belonging to the same power line with a merging cluster method based on end portion fitting line segments, and fifth, recovering fractured power lines according to characteristics of the power lines to obtain point cloud capable of being used for representing a single power line finally and carrying out three-dimensional fitting based on the point cloud. The method can achieve automatic and quick extraction of a large amount of power line point cloud in the in-vehicle LiDAR data, and also can achieve accurate recognition on the single power line and accurate fitting of three-dimensional models of the power lines.

Description

technical field [0001] The invention relates to a method for extracting and fitting power lines from vehicle-mounted LiDAR data. Background technique [0002] Power lines are an important part of the line assets of the power sector, and play an important role in power line inspection, power grid design and upgrade, power professional analysis, etc., and the security of power line infrastructure significantly affects our daily life and industry Activities; its detection and monitoring can provide strong support for power line management and maintenance to discover and avoid potential safety hazards and unnecessary economic losses, and ensure the healthy development of the national economy and the safety of residents' lives and property. [0003] The traditional monitoring of power lines is mainly manual operation, which is not only time-consuming and laborious, but also unable to obtain large-scale observation data. With the development of lidar technology, airborne lidar, a...

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Application Information

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IPC IPC(8): G06T1/00G06T17/00
Inventor 程亮童礼华李满春王昱伍阳黄秋昊李飞雪陈焱明张雯杜培军
Owner NANJING UNIV
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