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Pavement pit slot extraction method for continuous profile point cloud feature analysis

A feature analysis and extraction method technology, applied in the direction of instruments, character and pattern recognition, computer components, etc., can solve the problems of poor recognition of minor diseases and inability to finely extract pits and other problems

Active Publication Date: 2020-12-25
SHANDONG UNIV OF SCI & TECH
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AI Technical Summary

Problems solved by technology

[0004] The invention discloses a road surface pothole extraction method for feature analysis of continuous section point cloud, in order to solve the problems in the prior art that the identification effect of minor diseases is not good, and the fine extraction of potholes cannot be carried out

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  • Pavement pit slot extraction method for continuous profile point cloud feature analysis
  • Pavement pit slot extraction method for continuous profile point cloud feature analysis

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Embodiment Construction

[0041] Below in conjunction with specific embodiment the present invention is described in further detail:

[0042] A road surface pothole extraction method for continuous profile point cloud feature analysis, the flow chart is as follows figure 1 shown, including the following steps:

[0043] S1. Filter the original point cloud, remove the influence of non-road surface point cloud, eliminate non-road surface noise, and only keep the road surface point cloud;

[0044] S2. Road profile extraction and contour fitting, the flow chart of road profile contour fitting is as follows figure 2 As shown, follow the road driving direction, set the distance at intervals, divide the point cloud into blocks, take the section in the direction of road driving as the transverse section of the road, and take the section in the direction of the cross-section of the road as the longitudinal section, and use the Douglas Pucker algorithm to fit The point cloud on the road section simplifies the ...

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Abstract

The invention discloses a pavement pit slot extraction method based on continuous profile point cloud feature analysis, and belongs to the technical field of pavement disease detection of mobile measurement systems. The method comprises the following implementation steps: filtering an original point cloud to obtain a pavement point cloud, performing Gaussian smoothing denoising on the pavement point cloud, preprocessing pavement point cloud data into a road driving direction and a road cross section direction, and respectively obtaining profiles in two directions; fitting the outline of the road section by adopting a Douglas-Peucker algorithm algorithm, analyzing integral invariance and differential characteristics of the pit slot section, and automatically identifying the pavement pit slot point cloud according to characteristic constraints; carrying out clustering denoising through continuity of point clouds and distance constraints between the point clouds, and further determining pit slots through shape constraint analysis; obtaining the area of the pit slot according to the vectorized outline of the pit slot, and taking the distance from the lowest point of the pit slot pointcloud to the plane of the pit slot boundary as the depth of the pit slot.

Description

technical field [0001] The invention discloses a method for extracting pavement pits and grooves based on continuous profile point cloud feature analysis, and belongs to the technical field of pavement disease detection in mobile measurement systems. Background technique [0002] If the pavement potholes cannot be found in time, it will seriously affect the life and function of the road, and even cause traffic accidents. Therefore, an efficient and fine road pothole extraction method is very important. At present, the traditional visual method of road pothole detection affects the normal driving of the road, is costly, and consumes a lot of manpower and material resources, which is inconsistent with today's growing road maintenance needs. The extraction of pavement potholes at home and abroad is realizing the transformation from manual measurement to automatic extraction. This transformation has greatly improved the efficiency of pothole detection, and can quickly obtain ro...

Claims

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Application Information

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IPC IPC(8): G06K9/46G06K9/40G06K9/62
CPCG06V10/30G06V10/44G06F18/23
Inventor 刘如飞畅陈豪柴永宁马新江
Owner SHANDONG UNIV OF SCI & TECH
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