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Measurement of Three-Dimensional Structural Displacement Using a Hybrid Inertial Vision-Based System
Accurate three-dimensional displacement measurements of bridges and other structures have received significant attention in recent years. The main challenges of such measurements include the cost and the need for a scalable array of instrumentation. This paper presents a novel Hybrid Inertial Vision...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6806297/ https://www.ncbi.nlm.nih.gov/pubmed/31546595 http://dx.doi.org/10.3390/s19194083 |
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author | Zhang, Xinxiang Zeinali, Yasha Story, Brett A. Rajan, Dinesh |
author_facet | Zhang, Xinxiang Zeinali, Yasha Story, Brett A. Rajan, Dinesh |
author_sort | Zhang, Xinxiang |
collection | PubMed |
description | Accurate three-dimensional displacement measurements of bridges and other structures have received significant attention in recent years. The main challenges of such measurements include the cost and the need for a scalable array of instrumentation. This paper presents a novel Hybrid Inertial Vision-Based Displacement Measurement (HIVBDM) system that can measure three-dimensional structural displacements by using a monocular charge-coupled device (CCD) camera, a stationary calibration target, and an attached tilt sensor. The HIVBDM system does not require the camera to be stationary during the measurements, while the camera movements, i.e., rotations and translations, during the measurement process are compensated by using a stationary calibration target in the field of view (FOV) of the camera. An attached tilt sensor is further used to refine the camera movement compensation, and better infers the global three-dimensional structural displacements. This HIVBDM system is evaluated on both short-term and long-term synthetic static structural displacements, which are conducted in an indoor simulated experimental environment. In the experiments, at a 9.75 m operating distance between the monitoring camera and the structure that is being monitored, the proposed HIVBDM system achieves an average of 1.440 mm Root Mean Square Error (RMSE) on the in-plane structural translations and an average of 2.904 mm RMSE on the out-of-plane structural translations. |
format | Online Article Text |
id | pubmed-6806297 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-68062972019-11-07 Measurement of Three-Dimensional Structural Displacement Using a Hybrid Inertial Vision-Based System Zhang, Xinxiang Zeinali, Yasha Story, Brett A. Rajan, Dinesh Sensors (Basel) Article Accurate three-dimensional displacement measurements of bridges and other structures have received significant attention in recent years. The main challenges of such measurements include the cost and the need for a scalable array of instrumentation. This paper presents a novel Hybrid Inertial Vision-Based Displacement Measurement (HIVBDM) system that can measure three-dimensional structural displacements by using a monocular charge-coupled device (CCD) camera, a stationary calibration target, and an attached tilt sensor. The HIVBDM system does not require the camera to be stationary during the measurements, while the camera movements, i.e., rotations and translations, during the measurement process are compensated by using a stationary calibration target in the field of view (FOV) of the camera. An attached tilt sensor is further used to refine the camera movement compensation, and better infers the global three-dimensional structural displacements. This HIVBDM system is evaluated on both short-term and long-term synthetic static structural displacements, which are conducted in an indoor simulated experimental environment. In the experiments, at a 9.75 m operating distance between the monitoring camera and the structure that is being monitored, the proposed HIVBDM system achieves an average of 1.440 mm Root Mean Square Error (RMSE) on the in-plane structural translations and an average of 2.904 mm RMSE on the out-of-plane structural translations. MDPI 2019-09-21 /pmc/articles/PMC6806297/ /pubmed/31546595 http://dx.doi.org/10.3390/s19194083 Text en © 2019 by the authors. 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 (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Zhang, Xinxiang Zeinali, Yasha Story, Brett A. Rajan, Dinesh Measurement of Three-Dimensional Structural Displacement Using a Hybrid Inertial Vision-Based System |
title | Measurement of Three-Dimensional Structural Displacement Using a Hybrid Inertial Vision-Based System |
title_full | Measurement of Three-Dimensional Structural Displacement Using a Hybrid Inertial Vision-Based System |
title_fullStr | Measurement of Three-Dimensional Structural Displacement Using a Hybrid Inertial Vision-Based System |
title_full_unstemmed | Measurement of Three-Dimensional Structural Displacement Using a Hybrid Inertial Vision-Based System |
title_short | Measurement of Three-Dimensional Structural Displacement Using a Hybrid Inertial Vision-Based System |
title_sort | measurement of three-dimensional structural displacement using a hybrid inertial vision-based system |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6806297/ https://www.ncbi.nlm.nih.gov/pubmed/31546595 http://dx.doi.org/10.3390/s19194083 |
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