Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Zhang, Xinxiang, Zeinali, Yasha, Story, Brett A., Rajan, Dinesh
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
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
_version_ 1783461597728997376
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
work_keys_str_mv AT zhangxinxiang measurementofthreedimensionalstructuraldisplacementusingahybridinertialvisionbasedsystem
AT zeinaliyasha measurementofthreedimensionalstructuraldisplacementusingahybridinertialvisionbasedsystem
AT storybretta measurementofthreedimensionalstructuraldisplacementusingahybridinertialvisionbasedsystem
AT rajandinesh measurementofthreedimensionalstructuraldisplacementusingahybridinertialvisionbasedsystem