Pavement damage characteristic image generation method based on laser point cloud

Abstract

The invention discloses a pavement damage characteristic image generation method based on laser point cloud. The method includes the following steps: selecting seed points including pavement damage information according to original road point cloud data, performing interpolation on the few missing seed points on the pavement through a multi-scale ring interpolation method, obtaining all the seed points containing the pavement disease information; performing rasterization, selecting a neighborhood range as the radius by taking a center grid as the center of a circle, calculating gradient valuesof neighborhood grids in multiple directions within the center grid and the circle range, enlarging the neighborhood search radius on the above basis, calculating the multi-directional gradient of the circle range in the next scale, and obtaining an original image containing the pavement damage characteristics; without lost of the pavement damage information, performing smoothing on the originalpavement damage characteristic image through a neighborhood damage characteristic constraint method; stretching the smoothed image as a whole and obtaining pavement damage characteristic image.

Description

Technical field [0001] The invention relates to a method for generating a pavement disease characteristic image based on a laser point cloud. Background technique [0002] Road traffic occupies an important position in the national economy and people's lives, and greatly promotes the development of the national economy. As roads are built and opened to traffic and the service life increases, coupled with the impact of extreme conditions such as rain, snow, high temperature, overloading, etc., most of the roads have various degrees of disease, such as potholes, cracks, subsidence, rutting and looseness. And so on, thus affecting the use of urban roads and pavement, and bring great traffic safety hazards. [0003] Pavement maintenance has become more and more important. Pavement disease detection is an important early stage of maintenance work, and the characteristic image of pavement disease is the main basis for road disease detection. Generating accurate pavement disease charact...

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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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