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Bridge damage: Detection, IFC-based semantic enrichment and visualization
dc.creator | Isailović, Dušan | |
dc.creator | Stojanovic, Vladeta | |
dc.creator | Trapp, Matthias | |
dc.creator | Richter, Rico | |
dc.creator | Hajdin, Rade | |
dc.creator | Döllner, Jürgen | |
dc.date.accessioned | 2020-03-09T12:12:49Z | |
dc.date.available | 2022-01-24 | |
dc.date.issued | 2020 | |
dc.identifier.issn | 0926-5805 | |
dc.identifier.uri | https://grafar.grf.bg.ac.rs/handle/123456789/1857 | |
dc.description.abstract | Building Information Modeling (BIM) representations of bridges enriched by inspection data will add tremendous value to future Bridge Management Systems (BMSs). This paper presents an approach for point cloud-based detection of spalling damage, as well as integrating damage components into a BIM via semantic enrichment of an as-built Industry Foundation Classes (IFC) model. An approach for generating the as-built BIM, geometric reconstruction of detected damage point clusters and semantic-enrichment of the corresponding IFC model is presented. Multiview-classification is used and evaluated for the detection of spalling damage features. The semantic enrichment of as-built IFC models is based on injecting classified and reconstructed damage clusters back into the as-built IFC, thus generating an accurate as-is IFC model compliant to the BMS inspection requirements." | en |
dc.language.iso | en | sr |
dc.publisher | Elsevier | sr |
dc.relation | info:eu-repo/grantAgreement/MESTD/Technological Development (TD or TR)/36038/RS// | sr |
dc.rights | embargoedAccess | sr |
dc.rights.uri | https://creativecommons.org/licenses/by-nc-nd/4.0/ | |
dc.source | Automation in Construction | sr |
dc.subject | Damage detection | sr |
dc.subject | Building Information Modeling | sr |
dc.subject | 3D point clouds | sr |
dc.subject | Multiview classification | sr |
dc.subject | Bridge Management Systems | sr |
dc.title | Bridge damage: Detection, IFC-based semantic enrichment and visualization | en |
dc.type | article | sr |
dc.rights.license | BY-NC-ND | sr |
dc.rights.holder | Elsevier | sr |
dc.citation.rank | aM21 | |
dc.citation.volume | 112 | |
dc.identifier.doi | 10.1016/j.autcon.2020.103088 | |
dc.identifier.fulltext | http://grafar.grf.bg.ac.rs/bitstream/id/7125/Bridge_Damage_Paper_Final.pdf | |
dc.identifier.scopus | 2-s2.0-85078194587 | |
dc.identifier.wos | 000526785600012 | |
dc.type.version | acceptedVersion | sr |