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A three-dimensional crack surface profile detection method for optimized dual-phase scanning pavement

A technology of curved surface profile and detection method, applied in measuring devices, instruments, optical devices, etc., can solve the problems of low accuracy and unsatisfactory crack detection results, and achieve the effect of improving accuracy

Active Publication Date: 2021-10-29
CHANGAN UNIV
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Problems solved by technology

However, image-based pavement crack detection methods that have been developed so far are either based on 2D images or use captured 3D images, and the crack detection results are usually not satisfactory
[0004] Due to the relatively low accuracy of the current 3D crack detection method and people's high-precision demand for crack collection, it is the applicant's concern to develop a new 3D crack image detection method to improve the detection accuracy of cracks. one

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  • A three-dimensional crack surface profile detection method for optimized dual-phase scanning pavement
  • A three-dimensional crack surface profile detection method for optimized dual-phase scanning pavement
  • A three-dimensional crack surface profile detection method for optimized dual-phase scanning pavement

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Embodiment Construction

[0020] There are certain issues with using lasers to collect data while a vehicle is driving. The key issue that stands out is that the automatic pavement performance data collection process may change frequently. These changes are mainly due to two reasons, namely:

[0021] (1) Unbalanced driving vehicle ( figure 1 ), which will result in the slope of the road surface in the collected dataset;

[0022] (2) Positive and negative noise caused by laser effects. Specifically, positive noise refers to the noise generated by reflected laser light on the road, which is then captured by the 3D camera. Negative noise refers to the phenomenon of laser extinction, which is often present when collecting data in narrow areas (Li et al. 2009).

[0023] With these issues in mind, changes in the data collection process should be considered when developing crack detection algorithms. Therefore, the applicant designed a crack detection algorithm based on PSP (Primary Surface Profile).

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Abstract

The invention discloses a three-dimensional crack curved surface profile detection method for optimizing two-phase scanning pavement. Firstly, the three-dimensional image data matrix of the road surface is filtered to obtain the three-dimensional image data matrix I after de-drying; the filtered three-dimensional data matrix is ​​divided into rows Arrangement, perform horizontal processing on each row of data in the matrix to obtain the data matrix I 1 , and then vertically process each column of data in the matrix to obtain the data matrix I 2 , and then the two data matrices I 1 and I 2 , add up to get the matrix I 3 ; filter matrix I 3 , to obtain only fracture information I 4 Binary image; Finally, qualitative analysis of crack detection and ROC curve analysis. The method combines curve fitting and smoothing operations, uses the smoothing matrix as a sliding window operator to filter the fracture data matrix, and performs curve fitting at the same time to obtain the PSP curve. The accuracy of obtaining road surfaces can be improved.

Description

technical field [0001] The invention belongs to the technical field of road engineering, relates to a method for detecting a road surface, in particular to a method for detecting a three-dimensional cracked curved surface profile of an optimized two-phase scanning road surface. Background technique [0002] With the vigorous development of the expressway industry, the traditional two-dimensional pavement crack detection technology has been unable to meet the needs of road surface management system, intelligent transportation system and increasingly perfect pavement evaluation technology development, pavement three-dimensional detection technology is becoming the development direction of pavement detection. In recent decades, researchers at home and abroad have been pursuing efficient and accurate automatic detection and identification methods for pavement cracks. With the advancement of science and technology and the improvement of the requirements for pavement crack detecti...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01B11/24
CPCG01B11/24
Inventor 冯笑然高尧李伟郝雪丽贾彭斐王孟
Owner CHANGAN UNIV
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