A rapid screening algorithm using a quadrotor for crack detection on bridges

A rapid screening algorithm using a quadrotor for crack detection on bridges

This research study employs the use of a quadrotor for improving the efficiency and safety of civil engineers in the inspection of concrete bridge building columns for probable cracks. At an initial scanning height, the quadrotor hovers vertically at constant height increments and captures the struc...

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Main Authors: Magsino, Elmer R., Chua, John Robert B., Chua, Lawrence S., De Guzman, Carlo M., Gepaya, Jan Vincent L.
Format: text
Published: Animo Repository 2017
Subjects:
Concrete bridges—Cracking
Concrete bridges— Inspection
Quadrotor helicopters
Civil Engineering
Electrical and Electronics
Online Access:https://animorepository.dlsu.edu.ph/faculty_research/651
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Institution: De La Salle University
id oai:animorepository.dlsu.edu.ph:faculty_research-1650
record_format eprints
spelling oai:animorepository.dlsu.edu.ph:faculty_research-16502022-02-02T02:27:39Z A rapid screening algorithm using a quadrotor for crack detection on bridges Magsino, Elmer R. Chua, John Robert B. Chua, Lawrence S. De Guzman, Carlo M. Gepaya, Jan Vincent L. This research study employs the use of a quadrotor for improving the efficiency and safety of civil engineers in the inspection of concrete bridge building columns for probable cracks. At an initial scanning height, the quadrotor hovers vertically at constant height increments and captures the structure image. It communicates, via Wi-Fi, to an android device running the rapid screening algorithm for crack detection. Out of 23 collected images from a bridge structure, the average accuracy achieved was 95.65% with a precision of 91.67% and a recall of 83.33%. © 2016 IEEE. 2017-02-08T08:00:00Z text text/html https://animorepository.dlsu.edu.ph/faculty_research/651 Faculty Research Work Animo Repository Concrete bridges—Cracking Concrete bridges— Inspection Quadrotor helicopters Civil Engineering Electrical and Electronics
institution De La Salle University
building De La Salle University Library
continent Asia
country Philippines
Philippines
content_provider De La Salle University Library
collection DLSU Institutional Repository
topic Concrete bridges—Cracking
Concrete bridges— Inspection
Quadrotor helicopters
Civil Engineering
Electrical and Electronics
spellingShingle Concrete bridges—Cracking
Concrete bridges— Inspection
Quadrotor helicopters
Civil Engineering
Electrical and Electronics
Magsino, Elmer R.
Chua, John Robert B.
Chua, Lawrence S.
De Guzman, Carlo M.
Gepaya, Jan Vincent L.
A rapid screening algorithm using a quadrotor for crack detection on bridges
description This research study employs the use of a quadrotor for improving the efficiency and safety of civil engineers in the inspection of concrete bridge building columns for probable cracks. At an initial scanning height, the quadrotor hovers vertically at constant height increments and captures the structure image. It communicates, via Wi-Fi, to an android device running the rapid screening algorithm for crack detection. Out of 23 collected images from a bridge structure, the average accuracy achieved was 95.65% with a precision of 91.67% and a recall of 83.33%. © 2016 IEEE.
format text
author Magsino, Elmer R.
Chua, John Robert B.
Chua, Lawrence S.
De Guzman, Carlo M.
Gepaya, Jan Vincent L.
author_facet Magsino, Elmer R.
Chua, John Robert B.
Chua, Lawrence S.
De Guzman, Carlo M.
Gepaya, Jan Vincent L.
author_sort Magsino, Elmer R.
title A rapid screening algorithm using a quadrotor for crack detection on bridges
title_short A rapid screening algorithm using a quadrotor for crack detection on bridges
title_full A rapid screening algorithm using a quadrotor for crack detection on bridges
title_fullStr A rapid screening algorithm using a quadrotor for crack detection on bridges
title_full_unstemmed A rapid screening algorithm using a quadrotor for crack detection on bridges
title_sort rapid screening algorithm using a quadrotor for crack detection on bridges
publisher Animo Repository
publishDate 2017
url https://animorepository.dlsu.edu.ph/faculty_research/651
_version_ 1724079045180653568

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