Displacement Estimation Error in Laser Scanning Monitoring of Retaining Structures Considering Roughness
Point clouds were obtained after laser scanning of the concrete panel, SMW, and sheet pile which is most widely used in retaining structures. The surface condition of the point cloud affects the displacement calculation, and hence both local roughness and global curvature of each point cloud were an...
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MDPI AG
2021
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oai:doaj.org-article:3dbf3c66d0df4c14a77b67cb7b9d0a3b2021-11-11T19:18:25ZDisplacement Estimation Error in Laser Scanning Monitoring of Retaining Structures Considering Roughness10.3390/s212173701424-8220https://doaj.org/article/3dbf3c66d0df4c14a77b67cb7b9d0a3b2021-11-01T00:00:00Zhttps://www.mdpi.com/1424-8220/21/21/7370https://doaj.org/toc/1424-8220Point clouds were obtained after laser scanning of the concrete panel, SMW, and sheet pile which is most widely used in retaining structures. The surface condition of the point cloud affects the displacement calculation, and hence both local roughness and global curvature of each point cloud were analyzed using the different sizes of the kernel. The curvature of the three retaining structures was also analyzed by the azimuth angle. In this paper, artificial displacements are generated for the point clouds of 100%, 80%, 60%, 40%, and 20% of the retaining structures, and displacement and analysis errors were calculated using the C2C, C2M, and M3C2 methods. C2C method is affected by the resolution of the point cloud, and the C2M method underestimates the displacement by the location of the points in the curvature of the retaining structures. M3C2 method had the lowest error, and the optimized M3C2 parameters for analyzing the displacement were presented.Hyungjoon SeoYang ZhaoCheng ChenMDPI AGarticlepoint cloudlaser scanningretaining structureC2CC2MM3C2Chemical technologyTP1-1185ENSensors, Vol 21, Iss 7370, p 7370 (2021) |
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point cloud laser scanning retaining structure C2C C2M M3C2 Chemical technology TP1-1185 |
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point cloud laser scanning retaining structure C2C C2M M3C2 Chemical technology TP1-1185 Hyungjoon Seo Yang Zhao Cheng Chen Displacement Estimation Error in Laser Scanning Monitoring of Retaining Structures Considering Roughness |
description |
Point clouds were obtained after laser scanning of the concrete panel, SMW, and sheet pile which is most widely used in retaining structures. The surface condition of the point cloud affects the displacement calculation, and hence both local roughness and global curvature of each point cloud were analyzed using the different sizes of the kernel. The curvature of the three retaining structures was also analyzed by the azimuth angle. In this paper, artificial displacements are generated for the point clouds of 100%, 80%, 60%, 40%, and 20% of the retaining structures, and displacement and analysis errors were calculated using the C2C, C2M, and M3C2 methods. C2C method is affected by the resolution of the point cloud, and the C2M method underestimates the displacement by the location of the points in the curvature of the retaining structures. M3C2 method had the lowest error, and the optimized M3C2 parameters for analyzing the displacement were presented. |
format |
article |
author |
Hyungjoon Seo Yang Zhao Cheng Chen |
author_facet |
Hyungjoon Seo Yang Zhao Cheng Chen |
author_sort |
Hyungjoon Seo |
title |
Displacement Estimation Error in Laser Scanning Monitoring of Retaining Structures Considering Roughness |
title_short |
Displacement Estimation Error in Laser Scanning Monitoring of Retaining Structures Considering Roughness |
title_full |
Displacement Estimation Error in Laser Scanning Monitoring of Retaining Structures Considering Roughness |
title_fullStr |
Displacement Estimation Error in Laser Scanning Monitoring of Retaining Structures Considering Roughness |
title_full_unstemmed |
Displacement Estimation Error in Laser Scanning Monitoring of Retaining Structures Considering Roughness |
title_sort |
displacement estimation error in laser scanning monitoring of retaining structures considering roughness |
publisher |
MDPI AG |
publishDate |
2021 |
url |
https://doaj.org/article/3dbf3c66d0df4c14a77b67cb7b9d0a3b |
work_keys_str_mv |
AT hyungjoonseo displacementestimationerrorinlaserscanningmonitoringofretainingstructuresconsideringroughness AT yangzhao displacementestimationerrorinlaserscanningmonitoringofretainingstructuresconsideringroughness AT chengchen displacementestimationerrorinlaserscanningmonitoringofretainingstructuresconsideringroughness |
_version_ |
1718431578564067328 |