Road surface crack detection method based on vehicle-mounted laser point cloud

A technology of road surface cracks and vehicle-mounted laser, applied in the field of data analysis, can solve problems such as deviation of results, unfavorable road evaluation and perfect management, and achieve the effect of improving accuracy and efficiency, reducing data dependence, and improving expression ability

Active Publication Date: 2021-05-11
CENTRAL UNIVERSITY OF FINANCE AND ECONOMICS
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] Based on existing methods, the input point cloud is projected into the image for processing, which leads to deviations in the results produced by these methods, which is not conducive to accurate road evaluation and perfect management. This application provides a vehicle-based laser point cloud. Pavement crack detection method

Method used

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  • Road surface crack detection method based on vehicle-mounted laser point cloud
  • Road surface crack detection method based on vehicle-mounted laser point cloud
  • Road surface crack detection method based on vehicle-mounted laser point cloud

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Embodiment

[0044] The schematic flowchart of this embodiment can be seen figure 1 , the specific operation process is as follows.

[0045] 1. Extraction of road point cloud in experimental area.

[0046] Known 3D road scene laser point cloud P raw The raw point cloud data such as figure 2 As shown, down-sampling the point cloud first, that is, reducing the number of data points in the point cloud data. First set a minimum distance sd, and then downsample the input point cloud using the minimum distance downsampling method. Because in the road surface point cloud of the original road scene processed in this embodiment, the traveling speed of the vehicle loaded with the on-board mobile laser scanner is 80km / h, and the scanning speed of the mobile laser scanner is 400 rpm. The scanning speed of the scanner can be calculated. In the road point cloud data acquired by the device, the distance between adjacent parallel scanning lines is about 0.1m. Therefore, in this embodiment, the minim...

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Abstract

The invention belongs to the technical field of data analysis, and particularly relates to a pavement crack detection method based on vehicle-mounted laser point cloud. According to the existing method, input point cloud is projected into an image for processing, results generated by the method have deviation, and accurate road assessment and perfect management are not facilitated. The invention provides the pavement crack detection method based on the vehicle-mounted laser point cloud, and the method comprises the following steps: 1) obtaining original pavement point cloud data, and extracting the original pavement point cloud data to obtain second point cloud data; 2) performing structure enhancement on the second point cloud data, and amplifying the difference between a crack point and a non-crack point in the second point cloud data; 3) selecting training data to train the graph convolutional neural network to obtain a model; and 4) obtaining the pavement crack in the second point cloud data through the model. Rapid and efficient pavement crack detection can be provided.

Description

technical field [0001] The present application belongs to the technical field of data analysis, and in particular relates to a road crack detection method based on a vehicle-mounted laser point cloud. Background technique [0002] Pavement cracks are the most common damage factor for pavement. Pavement cracks are caused by natural and human factors (such as traffic flow, increased weight and load, weather and temperature changes), and the damage of pavement cracks may continue to become larger. Pavement distress will adversely affect the normal use of the road, and lead to traffic accidents and economic losses. At the same time, pavement cracks are an indispensable general index for evaluating road distress. By quantifying the size, shape and depth of pavement cracks, the extent of road damage can be quickly and efficiently assessed and maintenance strategies formulated accordingly. Therefore, proper road maintenance and continuous visual inspection of pavement infrastruct...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06N3/04G06N3/08
CPCG06T7/0002G06N3/08G06T2207/10028G06T2207/20081G06T2207/20084G06T2207/30184G06N3/045Y02T10/40
Inventor 李军丰慧芳陈一平马凌飞李海峰
Owner CENTRAL UNIVERSITY OF FINANCE AND ECONOMICS
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