Method for automatically extracting spatial position of rod-shaped ground objects from point clouds in vehicle laser scanning

A vehicle-mounted laser scanning and ground object technology, which is applied in image data processing, instruments, calculations, etc., can solve the problems of the influence of noise points and low adaptability, and achieve the effect of high degree of automation and good extraction effect

Active Publication Date: 2016-12-07
SHANDONG UNIV OF SCI & TECH
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Problems solved by technology

At present, for the research on the extraction of rod-shaped objects in laser point cloud, there are mainly clustering method and projection densi

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  • Method for automatically extracting spatial position of rod-shaped ground objects from point clouds in vehicle laser scanning
  • Method for automatically extracting spatial position of rod-shaped ground objects from point clouds in vehicle laser scanning
  • Method for automatically extracting spatial position of rod-shaped ground objects from point clouds in vehicle laser scanning

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Embodiment Construction

[0019] Those skilled in the art according to the flow chart appended of content of the invention and implementation figure 1 , the present invention can be implemented. For the convenience of implementation, each step in the summary of the invention is described in further detail below, and the Figure 2-Figure 5 The specific example of the example is only the extraction of the coordinate space position of two rod-shaped objects next to the building as an example.

[0020] 1. Detailed description of the first step of the content of the invention:

[0021] 1. Automatic extraction of layered point clouds in vertical space

[0022] According to the actual spatial height distribution of buildings, firstly, the point cloud is layered according to the vertical direction as a whole, and a point cloud layer is divided every 2m to obtain a series of spatially layered point cloud data in the vertical direction within a local range, which is set to l 1 , l 2 , l 3 ...l N ;

[0023...

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Abstract

The invention discloses a method for automatically extracting a spatial position of rod-shaped ground objects from point clouds in vehicle laser scanning. The method first acquires the optimal spatial layered point cloud plane projected image from the laser scanning point cloud. Threshold segmentation is performed on the generated optimal spatial layered point cloud plane projection image to remove the low luminance points. The linear detection of the plane projection image after threshold segmentation is carried out, and the data with line features is removed. The image is further extracted to obtain the projection image of the rod-shaped ground object by removing the data part which does not accord with the diameter characteristics of the rod-shaped ground object. Finally, the geometric center of each rod-shaped ground object area is taken as the spatial location point of the rod-shaped ground object from the projected image of the rod-shaped ground object, and the relative position is reduced to the three-dimensional point cloud. The method of the invention is not susceptible to the noise point of data with high automation degree, fully utilizing the morphological characteristics of the point cloud data to achieve a better extraction effect.

Description

technical field [0001] The invention belongs to the technical field of vehicle-mounted laser scanning point cloud data processing. Background technique [0002] As an advanced measurement method, the vehicle-mounted mobile laser measurement system is more and more widely used in urban 3D data collection. The 3D information collected by the system includes buildings, trees, light poles, power lines, bridges and roads on both sides of the road. pavement etc. Rod-shaped objects are the most common facilities in urban components. With the rapid development of smart cities, it is urgent to obtain more comprehensive and accurate spatial location information of rod-shaped objects. At present, for the research on the extraction of rod-shaped objects in laser point cloud, there are mainly clustering method and projection density method. Both methods are based on the overall point cloud data and are easily affected by noise points in the point cloud data. Sex is not high. How to be...

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Application Information

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IPC IPC(8): G06T7/00
CPCG06T2207/10028
Inventor 刘如飞岳国伟田茂义刘甜曲杰卿
Owner SHANDONG UNIV OF SCI & TECH
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