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Scheimpflug Camera-Based Technique for Multi-Point Displacement Monitoring of Bridges

Owing to the limited field of view (FOV) and depth of field (DOF) of a conventional camera, it is quite difficult to employ a single conventional camera to simultaneously measure high-precision displacements at many points on a bridge of dozens or hundreds of meters. Researchers have attempted to ob...

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Detalles Bibliográficos
Autores principales: Xing, Lei, Dai, Wujiao, Zhang, Yunsheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9185233/
https://www.ncbi.nlm.nih.gov/pubmed/35684714
http://dx.doi.org/10.3390/s22114093
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author Xing, Lei
Dai, Wujiao
Zhang, Yunsheng
author_facet Xing, Lei
Dai, Wujiao
Zhang, Yunsheng
author_sort Xing, Lei
collection PubMed
description Owing to the limited field of view (FOV) and depth of field (DOF) of a conventional camera, it is quite difficult to employ a single conventional camera to simultaneously measure high-precision displacements at many points on a bridge of dozens or hundreds of meters. Researchers have attempted to obtain a large FOV and wide DOF by a multi-camera system; however, with the growth of the camera number, the cost, complexity and instability of multi-camera systems will increase exponentially. This study proposes a multi-point displacement measurement method for bridges based on a low-cost Scheimpflug camera. The Scheimpflug camera, which meets the Scheimpflug condition, can enlarge the depth of field of the camera without reducing the lens aperture and magnification; thus, when the measurement points are aligned in the depth direction, all points can be clearly observed in a single field of view with a high-power zoom lens. To reduce the impact of camera motions, a motion compensation method applied to the Scheimpflug camera is proposed according to the characteristic that the image plane is not perpendicular to the lens axis in the Scheimpflug camera. Several tests were conducted for performance verification under diverse settings. The results showed that the motion errors in x and y directions were reduced by at least 62% and 92%, respectively, using the proposed method, and the measurements of the camera were highly consistent with LiDAR-based measurements.
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spelling pubmed-91852332022-06-11 Scheimpflug Camera-Based Technique for Multi-Point Displacement Monitoring of Bridges Xing, Lei Dai, Wujiao Zhang, Yunsheng Sensors (Basel) Article Owing to the limited field of view (FOV) and depth of field (DOF) of a conventional camera, it is quite difficult to employ a single conventional camera to simultaneously measure high-precision displacements at many points on a bridge of dozens or hundreds of meters. Researchers have attempted to obtain a large FOV and wide DOF by a multi-camera system; however, with the growth of the camera number, the cost, complexity and instability of multi-camera systems will increase exponentially. This study proposes a multi-point displacement measurement method for bridges based on a low-cost Scheimpflug camera. The Scheimpflug camera, which meets the Scheimpflug condition, can enlarge the depth of field of the camera without reducing the lens aperture and magnification; thus, when the measurement points are aligned in the depth direction, all points can be clearly observed in a single field of view with a high-power zoom lens. To reduce the impact of camera motions, a motion compensation method applied to the Scheimpflug camera is proposed according to the characteristic that the image plane is not perpendicular to the lens axis in the Scheimpflug camera. Several tests were conducted for performance verification under diverse settings. The results showed that the motion errors in x and y directions were reduced by at least 62% and 92%, respectively, using the proposed method, and the measurements of the camera were highly consistent with LiDAR-based measurements. MDPI 2022-05-27 /pmc/articles/PMC9185233/ /pubmed/35684714 http://dx.doi.org/10.3390/s22114093 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Xing, Lei
Dai, Wujiao
Zhang, Yunsheng
Scheimpflug Camera-Based Technique for Multi-Point Displacement Monitoring of Bridges
title Scheimpflug Camera-Based Technique for Multi-Point Displacement Monitoring of Bridges
title_full Scheimpflug Camera-Based Technique for Multi-Point Displacement Monitoring of Bridges
title_fullStr Scheimpflug Camera-Based Technique for Multi-Point Displacement Monitoring of Bridges
title_full_unstemmed Scheimpflug Camera-Based Technique for Multi-Point Displacement Monitoring of Bridges
title_short Scheimpflug Camera-Based Technique for Multi-Point Displacement Monitoring of Bridges
title_sort scheimpflug camera-based technique for multi-point displacement monitoring of bridges
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9185233/
https://www.ncbi.nlm.nih.gov/pubmed/35684714
http://dx.doi.org/10.3390/s22114093
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