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Pavement disease detection method and device

A detection method and disease detection technology, applied in image data processing, instrumentation, calculation, etc., can solve the problems of difficulty in detecting disease details and being easily affected by impurities, so as to reduce the false detection rate and overdetection rate and improve the detection efficiency.

Pending Publication Date: 2021-10-01
SHAOXING UNIVERSITY
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Problems solved by technology

[0006] Aiming at the above defects or improvement needs of the prior art, the present invention provides a method and device for detecting road surface defects. Point cloud data is difficult to detect disease details and is easily affected by impurities

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  • Pavement disease detection method and device
  • Pavement disease detection method and device
  • Pavement disease detection method and device

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Embodiment Construction

[0044]In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention. In addition, the technical features involved in the various embodiments of the present invention described below can be combined with each other as long as they do not constitute a conflict with each other.

[0045] figure 1 A schematic flow chart of a road surface disease detection method provided by an embodiment of the present invention, such as figure 1 As shown, the pavement disease detection method includes the following steps:

[0046] S1. Collect 3D point cloud data and 2D grayscale images of the road surface to be detected.

[0047] Among them, the 3D point cloud data and the 2D grayscale ...

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Abstract

The invention discloses a pavement disease detection method and device. First disease areas where diseases possibly exist are obtained by segmenting a projection two-dimensional image corresponding to three-dimensional point cloud data, and second disease areas where the diseases possibly exist are obtained by segmenting a two-dimensional gray image, wherein the quality of the two-dimensional gray level image is better than that of the projection two-dimensional image corresponding to the three-dimensional point cloud data, so that the first disease areas are further corrected through the second disease areas to screen out the first disease area which is interfered by impurities and is misjudged to have the pavement disease and select the first disease area where pavement disease exists actually as a to-be-detected area; and then the pavement disease in the to-be-detected area is detected, and the three-dimensional parameters of the pavement disease are obtained, so that the false detection rate and the over-detection rate of detection only based on the three-dimensional point cloud data are reduced, and the detection efficiency can be improved.

Description

technical field [0001] The invention belongs to the technical field of road surface detection, and more specifically relates to a method and device for detecting road surface diseases. Background technique [0002] The two-dimensional grayscale image obtained by two-dimensional measurement, but because the two-dimensional grayscale image can only reflect the grayscale information of the road surface, it cannot reflect the depth information of the road surface, and if the grayscale difference between the road surface and the edge of the crack or pit is small, It cannot reflect the degree of damage such as rutting, congestion and subsidence, so two-dimensional measurement cannot accurately measure road surface diseases. [0003] At present, with the development of 3D measurement technology based on linear array laser scanning, 3D point cloud data can be obtained through 3D measurement technology for road surface defect detection. The three-dimensional detection of road surfac...

Claims

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Application Information

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IPC IPC(8): G06T7/00G06T7/11G06T7/62G06T5/00
CPCG06T7/0002G06T7/11G06T7/62G06T2207/10012G06T5/70
Inventor 王卫星
Owner SHAOXING UNIVERSITY
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