Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

SMART SKY EYE System for Preliminary Structural Safety Assessment of Buildings Using Unmanned Aerial Vehicles

Full metadata record
DC Field Value Language
dc.contributor.authorBae, Jaehoon-
dc.contributor.authorLee, Jonghoon-
dc.contributor.authorJang, Arum-
dc.contributor.authorJu, Young K.-
dc.contributor.authorPark, Min Jae-
dc.date.accessioned2022-04-28T09:40:36Z-
dc.date.available2022-04-28T09:40:36Z-
dc.date.created2022-04-28-
dc.date.issued2022-04-
dc.identifier.issn1424-8220-
dc.identifier.urihttps://scholar.korea.ac.kr/handle/2021.sw.korea/140426-
dc.description.abstractThe development of unmanned aerial vehicles (UAVs) is expected to become one of the most commercialized research areas in the world over the next decade. Globally, unmanned aircraft have been increasingly used for safety surveillance in the construction industry and civil engineering fields. This paper presents an aerial image-based approach using UAVs to inspect cracks and deformations in buildings. A state-of-the-art safety evaluation method termed SMART SKY EYE (Smart building safety assessment system using UAV) is introduced; this system utilizes an unmanned airplane equipped with a thermal camera and programmed with various surveying efficiency improvement methods, such as thermography, machine-learning algorithms, and 3D point cloud modeling. Using this method, crack maps, crack depths, and the deformations of structures can be obtained. Error rates are compared between the proposed and conventional methods.-
dc.languageEnglish-
dc.language.isoen-
dc.publisherMDPI-
dc.titleSMART SKY EYE System for Preliminary Structural Safety Assessment of Buildings Using Unmanned Aerial Vehicles-
dc.typeArticle-
dc.contributor.affiliatedAuthorJu, Young K.-
dc.identifier.doi10.3390/s22072762-
dc.identifier.scopusid2-s2.0-85127373352-
dc.identifier.wosid000780558900001-
dc.identifier.bibliographicCitationSENSORS, v.22, no.7-
dc.relation.isPartOfSENSORS-
dc.citation.titleSENSORS-
dc.citation.volume22-
dc.citation.number7-
dc.type.rimsART-
dc.type.docTypeArticle-
dc.description.journalClass1-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaChemistry-
dc.relation.journalResearchAreaEngineering-
dc.relation.journalResearchAreaInstruments & Instrumentation-
dc.relation.journalWebOfScienceCategoryChemistry, Analytical-
dc.relation.journalWebOfScienceCategoryEngineering, Electrical & Electronic-
dc.relation.journalWebOfScienceCategoryInstruments & Instrumentation-
dc.subject.keywordAuthorSMART SKY EYE-
dc.subject.keywordAuthorunmanned aerial vehicle-
dc.subject.keywordAuthorsafety inspection-
dc.subject.keywordAuthorthermography-
dc.subject.keywordAuthorstructural safety assessment-
Files in This Item
There are no files associated with this item.
Appears in
Collections
College of Engineering > School of Civil, Environmental and Architectural Engineering > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Altmetrics

Total Views & Downloads

BROWSE