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Investigation of Measurement Accuracy of Bridge Deformation Using UAV-Based Oblique Photography Technique

This paper investigates the measurement accuracy of unmanned aerial vehicle-based oblique photography (UAVOP) in bridge deformation identifications. A simply supported concrete beam model was selected and measured using the UAVOP technique. The influences of several parameters, such as overall fligh...

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Autores principales: He, Shaohua, Guo, Xiaochun, He, Jianyan, Guo, Bo, Zheng, Cheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9504631/
https://www.ncbi.nlm.nih.gov/pubmed/36146169
http://dx.doi.org/10.3390/s22186822
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author He, Shaohua
Guo, Xiaochun
He, Jianyan
Guo, Bo
Zheng, Cheng
author_facet He, Shaohua
Guo, Xiaochun
He, Jianyan
Guo, Bo
Zheng, Cheng
author_sort He, Shaohua
collection PubMed
description This paper investigates the measurement accuracy of unmanned aerial vehicle-based oblique photography (UAVOP) in bridge deformation identifications. A simply supported concrete beam model was selected and measured using the UAVOP technique. The influences of several parameters, such as overall flight altitude (h), local shooting distance (d), partial image overlap (λ), and arrangement of control points, on the quality of the reconstructed three-dimensional (3D) beam model, were presented and discussed. Experimental results indicated that the quality of the reconstructed 3D model was significantly improved by the fusion overall-partial flight routes (FR), of which the reconstructed model quality was 46.7% higher than those with the single flight route (SR). Despite the minimal impact of overall flight altitude, the reconstructed model quality prominently varied with the local shooting distance, partial image overlap, and control points arrangement. As the d decreased from 12 m to 8 m, the model quality was improved by 48.2%, and an improvement of 42.5% was also achieved by increasing the λ from 70% to 80%. The reconstructed model quality of UAVOP with the global-plane control points was 78.4% and 38.4%, respectively, higher than those with the linear and regional control points. Furthermore, an optimized scheme of UAVOP with control points in global-plane arrangement and FR (h = 50 m, d = 8 m, and λ = 80%) was recommended. A comparison between the results measured by the UAVOP and the total station showed maximum identification errors of 1.3 mm. The study’s outcomes are expected to serve as potential references for future applications of UAVOP in bridge measurements.
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spelling pubmed-95046312022-09-24 Investigation of Measurement Accuracy of Bridge Deformation Using UAV-Based Oblique Photography Technique He, Shaohua Guo, Xiaochun He, Jianyan Guo, Bo Zheng, Cheng Sensors (Basel) Article This paper investigates the measurement accuracy of unmanned aerial vehicle-based oblique photography (UAVOP) in bridge deformation identifications. A simply supported concrete beam model was selected and measured using the UAVOP technique. The influences of several parameters, such as overall flight altitude (h), local shooting distance (d), partial image overlap (λ), and arrangement of control points, on the quality of the reconstructed three-dimensional (3D) beam model, were presented and discussed. Experimental results indicated that the quality of the reconstructed 3D model was significantly improved by the fusion overall-partial flight routes (FR), of which the reconstructed model quality was 46.7% higher than those with the single flight route (SR). Despite the minimal impact of overall flight altitude, the reconstructed model quality prominently varied with the local shooting distance, partial image overlap, and control points arrangement. As the d decreased from 12 m to 8 m, the model quality was improved by 48.2%, and an improvement of 42.5% was also achieved by increasing the λ from 70% to 80%. The reconstructed model quality of UAVOP with the global-plane control points was 78.4% and 38.4%, respectively, higher than those with the linear and regional control points. Furthermore, an optimized scheme of UAVOP with control points in global-plane arrangement and FR (h = 50 m, d = 8 m, and λ = 80%) was recommended. A comparison between the results measured by the UAVOP and the total station showed maximum identification errors of 1.3 mm. The study’s outcomes are expected to serve as potential references for future applications of UAVOP in bridge measurements. MDPI 2022-09-09 /pmc/articles/PMC9504631/ /pubmed/36146169 http://dx.doi.org/10.3390/s22186822 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
He, Shaohua
Guo, Xiaochun
He, Jianyan
Guo, Bo
Zheng, Cheng
Investigation of Measurement Accuracy of Bridge Deformation Using UAV-Based Oblique Photography Technique
title Investigation of Measurement Accuracy of Bridge Deformation Using UAV-Based Oblique Photography Technique
title_full Investigation of Measurement Accuracy of Bridge Deformation Using UAV-Based Oblique Photography Technique
title_fullStr Investigation of Measurement Accuracy of Bridge Deformation Using UAV-Based Oblique Photography Technique
title_full_unstemmed Investigation of Measurement Accuracy of Bridge Deformation Using UAV-Based Oblique Photography Technique
title_short Investigation of Measurement Accuracy of Bridge Deformation Using UAV-Based Oblique Photography Technique
title_sort investigation of measurement accuracy of bridge deformation using uav-based oblique photography technique
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9504631/
https://www.ncbi.nlm.nih.gov/pubmed/36146169
http://dx.doi.org/10.3390/s22186822
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