File(s) under permanent embargo
Computer vision techniques in construction, operation and maintenance phases of civil assets: a critical review
conference contribution
posted on 2019-01-01, 00:00 authored by Shuyuan Xu, Jun WangJun Wang, Xiangyu Wang, Wenchi ShouThroughout the life cycle of civil assets, construction, operation and maintenance phases require monitoring to assure reasonable decision makings. Current methods always involve specially-assigned personnel conducting on-site inspections, which are work-intensive, time-consuming and error-prone. Computer vision, as a powerful alternative to manual inspection, has been extensively studied during the past decades. On the basis of existing summary papers, this paper reviews a wide range of literatures, including journal articles, conference proceedings and other resources. Current applications of computer vision during construction, operation and maintenance stages of civil structures are concluded, with a special focus on operation and maintenance phase. This review aims to provide a comprehensive insight about the utilization of computer vision in civil engineering and an inspiring guidance for future research.
History
Event
International Association for Automation and Robotics in Construction. Symposium (36th : 2019 : Banff, Alta.)Series
International Association for Automation and Robotics in Construction SymposiumPagination
672 - 679Publisher
International Association for Automation and Robotics in Construction (IAARC)Location
Banff, Alta.Place of publication
[Banff, Alta.]Publisher DOI
Start date
2019-05-21End date
2019-05-24Language
engPublication classification
E1 Full written paper - refereedCopyright notice
2019, International Association for Automation and Robotics in Construction (IAARC)Editor/Contributor(s)
[Unknown]Title of proceedings
ISARC 2019 : Proceedings of the 36th International Symposium on Automation and Robotics in ConstructionUsage metrics
Categories
No categories selectedLicence
Exports
RefWorks
BibTeX
Ref. manager
Endnote
DataCite
NLM
DC