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Bridge inspection robot system with machine vision

Authors
Oh, Je-KeunJang, GihoOh, SeminLee, Jeong HoYi, Byung-JuMoon, Young ShikLee, Jong SehChoi, Youngjin
Issue Date
Nov-2009
Publisher
Elsevier BV
Keywords
Bridge inspection; Robot system; Machine vision; System integration
Citation
Automation in Construction, v.18, no.7, pp 929 - 941
Pages
13
Indexed
SCIE
SCOPUS
Journal Title
Automation in Construction
Volume
18
Number
7
Start Page
929
End Page
941
URI
https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/40752
DOI
10.1016/j.autcon.2009.04.003
ISSN
0926-5805
1872-7891
Abstract
A robotic system for inspecting the safety status of bridges is proposed in this paper. Currently, most bridge inspections have been done manually by counting the number of cracks, measuring their lengths and widths and taking pictures of them. Thus the quality and reliability of diagnosis reports on bridges are greatly dependent upon the diligence and education of inspection workers. The robotic inspection system to be proposed consists of three parts: a specially designed car, a robot mechanism and control system for mobility and a machine vision system for automatic detection of cracks. Ultimately, this robot system has been developed for gathering accurate data in order to record the biennial changes of the bridge's safety circumstances as well as check the safety status of bridges. We also demonstrate the effectiveness of the suggested crack detecting and tracing algorithms through experiments on a real bridge crack inspection. (C) 2009 Elsevier B.V. All rights reserved.
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COLLEGE OF ENGINEERING SCIENCES > DEPARTMENT OF ROBOT ENGINEERING > 1. Journal Articles
COLLEGE OF COMPUTING > SCHOOL OF COMPUTER SCIENCE > 1. Journal Articles
COLLEGE OF ENGINEERING SCIENCES > SCHOOL OF ELECTRICAL ENGINEERING > 1. Journal Articles

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Choi, Youngjin
ERICA 공학대학 (DEPARTMENT OF ROBOT ENGINEERING)
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