Open Access
Open access
volume 14 issue 5 pages 1244

A New Methodology for Bridge Inspections in Linear Infrastructures from Optical Images and HD Videos Obtained by UAV

Miguel Cano 1
José Luis Pastor 1
Roberto Tomás 1
Adrián Riquelme 1
José Luis Asensio 2
Publication typeJournal Article
Publication date2022-03-03
scimago Q1
wos Q1
SJR1.019
CiteScore8.6
Impact factor4.1
ISSN20724292, 23154632, 23154675
General Earth and Planetary Sciences
Abstract

Many bridges and other structures worldwide present a lack of maintenance or a need for rehabilitation. The first step in the rehabilitation process is to perform a bridge inspection to know the bridge′s current state. Routine bridge inspections are usually based only on visual recognition. In this paper, a methodology for bridge inspections in communication routes using images acquired by unmanned aerial vehicle (UAV) flights is proposed. This provides access to the upper parts of the structure safely and without traffic disruptions. Then, a standardized and systematized novel image acquisition protocol is applied for data acquisition. Afterwards, the images are studied by civil engineers for damage identification and description. Then, specific structural inspection forms are completed using the acquired information. Recommendations about the need of new and more detailed inspections should be included at this stage when needed. The suggested methodology was tested on two railway bridges in France. Image acquisition of these structures was performed using an UAV for its ability to provide an expert assessment of the damage level. The main advantage of this method is that it makes it possible to safely accurately identify diverse damages in structures without the need for a specialised engineer to go to the site. Moreover, the videos can be watched by as many engineers as needed with no personal movement. The main objective of this work is to describe the systematized methodology for the development of bridge inspection tasks using a UAV system. According to this proposal, the in situ inspection by a specialised engineer is replaced by images and videos obtained from an UAV flight by a trained flight operator. To this aim, a systematized image/videos acquisition method is defined for the study of the morphology and typology of the structural elements of the inspected bridges. Additionally, specific inspection forms are proposed for every type of structural element. The recorded information will allow structural engineers to perform a postanalysis of the damage affecting the bridges and to evaluate the subsequent recommendations.

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GOST |
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GOST Copy
Cano M. et al. A New Methodology for Bridge Inspections in Linear Infrastructures from Optical Images and HD Videos Obtained by UAV // Remote Sensing. 2022. Vol. 14. No. 5. p. 1244.
GOST all authors (up to 50) Copy
Cano M., Pastor J. L., Tomás R., Riquelme A., Asensio J. L. A New Methodology for Bridge Inspections in Linear Infrastructures from Optical Images and HD Videos Obtained by UAV // Remote Sensing. 2022. Vol. 14. No. 5. p. 1244.
RIS |
Cite this
RIS Copy
TY - JOUR
DO - 10.3390/rs14051244
UR - https://doi.org/10.3390/rs14051244
TI - A New Methodology for Bridge Inspections in Linear Infrastructures from Optical Images and HD Videos Obtained by UAV
T2 - Remote Sensing
AU - Cano, Miguel
AU - Pastor, José Luis
AU - Tomás, Roberto
AU - Riquelme, Adrián
AU - Asensio, José Luis
PY - 2022
DA - 2022/03/03
PB - MDPI
SP - 1244
IS - 5
VL - 14
SN - 2072-4292
SN - 2315-4632
SN - 2315-4675
ER -
BibTex |
Cite this
BibTex (up to 50 authors) Copy
@article{2022_Cano,
author = {Miguel Cano and José Luis Pastor and Roberto Tomás and Adrián Riquelme and José Luis Asensio},
title = {A New Methodology for Bridge Inspections in Linear Infrastructures from Optical Images and HD Videos Obtained by UAV},
journal = {Remote Sensing},
year = {2022},
volume = {14},
publisher = {MDPI},
month = {mar},
url = {https://doi.org/10.3390/rs14051244},
number = {5},
pages = {1244},
doi = {10.3390/rs14051244}
}
MLA
Cite this
MLA Copy
Cano, Miguel, et al. “A New Methodology for Bridge Inspections in Linear Infrastructures from Optical Images and HD Videos Obtained by UAV.” Remote Sensing, vol. 14, no. 5, Mar. 2022, p. 1244. https://doi.org/10.3390/rs14051244.