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Surface Texture Separation Method Based on Laser 3D Data of Asphalt Concrete Pavement

A technology of asphalt concrete and asphalt pavement, applied in image data processing, image analysis, image enhancement and other directions, can solve the problem of inability to separate macro texture and micro texture, and achieve the effect of improving stability

Active Publication Date: 2021-08-10
CHANGAN UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0003] In view of the deficiencies in the prior art, the purpose of the present invention is to provide a surface texture separation method based on laser three-dimensional data of asphalt concrete pavement, so as to solve the problem that the prior art cannot separate the macroscopic texture and microscopic texture of the pavement with high precision question

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  • Surface Texture Separation Method Based on Laser 3D Data of Asphalt Concrete Pavement
  • Surface Texture Separation Method Based on Laser 3D Data of Asphalt Concrete Pavement
  • Surface Texture Separation Method Based on Laser 3D Data of Asphalt Concrete Pavement

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Embodiment

[0044] This embodiment provides a surface texture separation method based on laser three-dimensional data of asphalt concrete pavement, such as figure 1 shown, including the following steps:

[0045] Step 1, obtain the three-dimensional depth data set Q of the asphalt pavement surface texture; where, Both m and n are integers greater than 1; z(x, y) represents the three-dimensional depth data of asphalt surface texture corresponding to row x and column y;

[0046] Step 2, filling the missing data in the three-dimensional depth data set Q of the asphalt pavement surface texture;

[0047] include:

[0048] Step 21, traverse the data z(x, y) of each row of the asphalt pavement surface texture three-dimensional depth data set Q in order from top to bottom, if there is z(x, y)=0, explain the position (row x The three-dimensional depth data of the asphalt surface texture corresponding to the yth column) is the data missing position, then use the cubic spline interpolation algori...

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Abstract

The present invention provides a surface texture separation method based on laser three-dimensional data of asphalt concrete pavement, comprising the following steps: step 1, obtaining the three-dimensional depth data set Q of asphalt pavement surface texture; Fill the missing data in the set Q; step 3, filter the filled 3D depth data set Q of asphalt pavement surface texture, and obtain the filtered 3D depth data set Q′ of asphalt pavement surface texture; step 4, filter Q The three-dimensional depth data of the asphalt pavement surface texture in 'is separated from the macroscopic texture and the microscopic texture, and the macroscopic texture data of the asphalt pavement and the microscopic texture data of the asphalt pavement are obtained; the present invention introduces the robust estimation theory into the traditional separation method, and effectively solves the The problem of singular value influence, thus improving the stability of traditional separation methods.

Description

technical field [0001] The invention belongs to the field of road engineering, in particular to a surface texture separation method based on laser three-dimensional data of asphalt concrete pavement. Background technique [0002] Good skid resistance of asphalt pavement is the premise of road traffic safety. Studies have shown that the anti-skid performance of asphalt pavement mainly depends on the macro-texture and micro-texture of the pavement surface. The micro-texture determines the anti-skid performance of the pavement under low-speed driving conditions. Anti-skid performance of the pavement. Therefore, in order to use 3D technology to study the skid resistance of asphalt pavement, it is very important to effectively separate the pavement surface texture. At present, the separation methods of surface topography mainly include fractal method, Motif method and filtering method. The accuracy of the separation results of the above existing methods needs to be improved, a...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/00G06T7/41G06T7/62
CPCG06T7/0004G06T2207/10012G06T2207/30132G06T7/41G06T7/62
Inventor 沙爱民李伟孙朝云郝雪丽孙红超裴莉莉
Owner CHANGAN UNIV