Surface texture separation method based on laser three-dimensional data of asphalt concrete pavement

Abstract

The invention provides a surface texture separation method based on laser three-dimensional data of an asphalt concrete pavement. The surface texture separation method comprises the following steps: step 1, acquiring an asphalt pavement surface texture three-dimensional depth data set Q; step 2, performing filling processing on missing data in the bituminous pavement surface texture three-dimensional depth data set Q; step 3, performing filtering processing on the asphalt pavement surface texture three-dimensional depth data set Q after filling processing to obtain a filtered asphalt pavementsurface texture three-dimensional depth data set Q'; step 4, performing macroscopic texture and microscopic texture separation on the asphalt pavement surface texture three-dimensional depth data in the Q' to obtain asphalt pavement macroscopic texture data and asphalt pavement microscopic texture data. The robust estimation theory is introduced into a traditional separation method, the problem that macroscopic texture is affected by singular values is effectively solved, and therefore the stability of the traditional separation method is improved.

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...

AI Technical Summary

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

Images