Visualization of 3D cable between utility poles obtained from laser scanning point clouds: a case study

Abstract We can automate inspection work of infrastructure facilities by analyzing the characteristics of 3D structure information obtained through 3D structure visualization using a point cloud. The safety level of equipment can then be diagnosed quantitatively. In this paper, we investigate the mo...

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Autores principales:	Masaaki Inoue, Hitoshi Niigaki, Tomoya Shimizu, Nazuki Honda, Hiroyuki Oshida, Takashi Ebine
Formato:	article
Lenguaje:	EN
Publicado:	Springer 2021
Materias:	Mobile mapping system 3D cable modeling Point cloud Precision-recall curve Science Q Technology T
Acceso en línea:	https://doaj.org/article/eacaf7a8f19f4816826f705567cf3c45
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spelling	oai:doaj.org-article:eacaf7a8f19f4816826f705567cf3c452021-11-14T12:15:14ZVisualization of 3D cable between utility poles obtained from laser scanning point clouds: a case study10.1007/s42452-021-04844-62523-39632523-3971https://doaj.org/article/eacaf7a8f19f4816826f705567cf3c452021-11-01T00:00:00Zhttps://doi.org/10.1007/s42452-021-04844-6https://doaj.org/toc/2523-3963https://doaj.org/toc/2523-3971Abstract We can automate inspection work of infrastructure facilities by analyzing the characteristics of 3D structure information obtained through 3D structure visualization using a point cloud. The safety level of equipment can then be diagnosed quantitatively. In this paper, we investigate the modeling of wire structures such as overhead communication cables between utility poles, which are close to the ground, have many obstructions, and have a complex structure. We evaluate the accuracy of cable models and compare them to the correct model. We use three modeling methods: a machine-learning method based on the extruded surface of a point cloud as a feature, a rule-based method involving principal component analysis, and models generated from a combination of these models. In addition, we focus on modeling overhead cables from field data (urban and suburban). Results show the practicability of modeling overhead cables with a cable length of 10–70 m regardless of the area type. We find that the best cable modeling rate with the precision and recall of 80.76% and 83.84%, respectively, can be obtained using the machine-learning method and by specifying the cable reproduction rate to be 2 m. Article highlights This study is useful in determining the practicality of 3D visualization of communication cables based on a 3D point cloud. Precision and recall are presented as indices to determine the practicality of 3D cable modeling. This study provides 3D cable modeling for actual field data (in suburban, bridges, and urban areas).Masaaki InoueHitoshi NiigakiTomoya ShimizuNazuki HondaHiroyuki OshidaTakashi EbineSpringerarticleMobile mapping system3D cable modelingPoint cloudPrecision-recall curveScienceQTechnologyTENSN Applied Sciences, Vol 3, Iss 12, Pp 1-11 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Mobile mapping system 3D cable modeling Point cloud Precision-recall curve Science Q Technology T
spellingShingle	Mobile mapping system 3D cable modeling Point cloud Precision-recall curve Science Q Technology T Masaaki Inoue Hitoshi Niigaki Tomoya Shimizu Nazuki Honda Hiroyuki Oshida Takashi Ebine Visualization of 3D cable between utility poles obtained from laser scanning point clouds: a case study
description	Abstract We can automate inspection work of infrastructure facilities by analyzing the characteristics of 3D structure information obtained through 3D structure visualization using a point cloud. The safety level of equipment can then be diagnosed quantitatively. In this paper, we investigate the modeling of wire structures such as overhead communication cables between utility poles, which are close to the ground, have many obstructions, and have a complex structure. We evaluate the accuracy of cable models and compare them to the correct model. We use three modeling methods: a machine-learning method based on the extruded surface of a point cloud as a feature, a rule-based method involving principal component analysis, and models generated from a combination of these models. In addition, we focus on modeling overhead cables from field data (urban and suburban). Results show the practicability of modeling overhead cables with a cable length of 10–70 m regardless of the area type. We find that the best cable modeling rate with the precision and recall of 80.76% and 83.84%, respectively, can be obtained using the machine-learning method and by specifying the cable reproduction rate to be 2 m. Article highlights This study is useful in determining the practicality of 3D visualization of communication cables based on a 3D point cloud. Precision and recall are presented as indices to determine the practicality of 3D cable modeling. This study provides 3D cable modeling for actual field data (in suburban, bridges, and urban areas).
format	article
author	Masaaki Inoue Hitoshi Niigaki Tomoya Shimizu Nazuki Honda Hiroyuki Oshida Takashi Ebine
author_facet	Masaaki Inoue Hitoshi Niigaki Tomoya Shimizu Nazuki Honda Hiroyuki Oshida Takashi Ebine
author_sort	Masaaki Inoue
title	Visualization of 3D cable between utility poles obtained from laser scanning point clouds: a case study
title_short	Visualization of 3D cable between utility poles obtained from laser scanning point clouds: a case study
title_full	Visualization of 3D cable between utility poles obtained from laser scanning point clouds: a case study
title_fullStr	Visualization of 3D cable between utility poles obtained from laser scanning point clouds: a case study
title_full_unstemmed	Visualization of 3D cable between utility poles obtained from laser scanning point clouds: a case study
title_sort	visualization of 3d cable between utility poles obtained from laser scanning point clouds: a case study
publisher	Springer
publishDate	2021
url	https://doaj.org/article/eacaf7a8f19f4816826f705567cf3c45
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Visualization of 3D cable between utility poles obtained from laser scanning point clouds: a case study

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