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10 February 2023 Research on detection of tunnel peeling off blocks based on 3D laser scanning system
Yong Pan, Ming Huang
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Proceedings Volume 12552, International Conference on Geographic Information and Remote Sensing Technology (GIRST 2022); 1255216 (2023) https://doi.org/10.1117/12.2667402
Event: International Conference on Geographic Information and Remote Sensing Technology (GIRST 2022), 2022, Kunming, China
Abstract
The identification of peeling off blocks is an important part of tunnel disease detection. In order to effectively solve the problem of accuracy of the identification of peeling off blocks in tunnels, this paper focuses on the use of the three-dimensional coordinates of the point cloud data obtained by the laser scanning system to realize the detection of peeling off blocks. A study of automatic detection of blocks. In the proposed automatic detection method for peeling off blocks, the original tunnel point cloud data is first filtered to remove outliers; then, the point cloud data is coordinately transformed to convert the cylindrical point cloud into a rectangular point cloud; the cloud constructs a triangular mesh, and by calculating the area of the triangular mesh and the projected area of the triangular mesh, the specific position of the peeling block can be obtained; finally, the point cloud is converted into an image, and the Hough transform is used to mark the pipeline and tunnel joints and get more intuitive detection results. This paper uses the real tunnel point cloud data to carry out the peeling off block detection experiment, and the results show the effectiveness and feasibility of the method.
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Yong Pan and Ming Huang "Research on detection of tunnel peeling off blocks based on 3D laser scanning system", Proc. SPIE 12552, International Conference on Geographic Information and Remote Sensing Technology (GIRST 2022), 1255216 (10 February 2023); https://doi.org/10.1117/12.2667402
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KEYWORDS
Point clouds
3D scanning
Tunable filters
Image processing
Hough transforms
RGB color model
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