A method for generating image of pavement disease feature based on laser point cloud

Abstract

The invention discloses a method for generating a characteristic image of pavement disease based on laser point cloud. According to original road point cloud data, seed points containing pavement disease information are selected, and a multi-scale annular interpolation method is used to interpolate a small number of missing seed points in the pavement. Calculate to obtain all the seed points that contain the pavement disease information completely; then perform rasterization, take the center grid as the center of the circle, select the neighborhood range as the radius, and calculate the center grid and the neighborhood grids in multiple directions within the circular range On this basis, the neighborhood search radius is expanded, and the multi-directional slope calculation of the next scale is performed in a circular range to obtain the original image containing the pavement disease characteristics; on the premise of not losing pavement disease information, the adjacent The original pavement disease feature map is smoothed by the domain disease feature constraint method; the smoothed image is then stretched as a whole to obtain the pavement disease feature image.

Description

technical field [0001] The invention relates to a method for generating a characteristic image of road surface disease based on a laser point cloud. Background technique [0002] Road traffic occupies an important position in the national economy and people's life, and greatly promotes the development of the national economy. With the completion and opening of roads and the increase in service life, coupled with the influence of extreme conditions such as rain and snow, high temperature, and overloading, most road surfaces have various degrees of disease, such as potholes, cracks, subsidence, ruts and looseness. And so on, thus affecting the use of urban road pavement, and brought a great traffic safety hazard. [0003] Pavement maintenance work has become more and more important. Pavement disease detection is an important early stage of maintenance work, and pavement disease characteristic images are the main basis for pavement disease detection. Generating an accurate fe...

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Problems solved by technology

[0004] At present, most of the characteristic images for slope generation in China are based on the digital elevation model (Digital ElevationModel, DEM). There are no application examples of using laser point clouds to generate characteristic images specifically for road surface diseases, and there is no systematic analysis and consideration of road surface diseases. The spatial morphological characteristics of , there are few related studies, and a mature method has not yet been formed

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