Automatic BIM component extraction from point clouds of existing buildings for sustainability applications
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Wang, Chao | - |
dc.contributor.author | Cho, Yong K. | - |
dc.contributor.author | Kim, Changwan | - |
dc.date.available | 2019-03-08T16:57:19Z | - |
dc.date.issued | 2015-08 | - |
dc.identifier.issn | 0926-5805 | - |
dc.identifier.issn | 1872-7891 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/9247 | - |
dc.description.abstract | Building information models (BIMs) are increasingly being applied throughout a building's lifecycle for various applications, such as progressive construction monitoring and defect detection, building renovation, energy simulation, and building system analysis in the Architectural, Engineering, Construction, and Facility Management (AEC/FM) domains. In conventional approaches, as-is BIM is primarily manually created from point clouds, which is labor-intensive, costly, and time consuming. This paper proposes a method for automatically extracting building geometries from unorganized point clouds. The collected raw data undergo data downsizing, boundary detection, and building component categorization, resulting in the building components being recognized as individual objects and their visualization as polygons. The results of tests conducted on three collected as-is building data to validate the technical feasibility and evaluate the performance of the proposed method indicate that it can simplify and accelerate the as-is building model from the point cloud creation process. (C) 2015 Elsevier B.V. All rights reserved. | - |
dc.format.extent | 13 | - |
dc.language | 영어 | - |
dc.language.iso | ENG | - |
dc.publisher | ELSEVIER SCIENCE BV | - |
dc.title | Automatic BIM component extraction from point clouds of existing buildings for sustainability applications | - |
dc.type | Article | - |
dc.identifier.doi | 10.1016/j.autcon.2015.04.001 | - |
dc.identifier.bibliographicCitation | AUTOMATION IN CONSTRUCTION, v.56, pp 1 - 13 | - |
dc.description.isOpenAccess | N | - |
dc.identifier.wosid | 000356107200001 | - |
dc.identifier.scopusid | 2-s2.0-84928163215 | - |
dc.citation.endPage | 13 | - |
dc.citation.startPage | 1 | - |
dc.citation.title | AUTOMATION IN CONSTRUCTION | - |
dc.citation.volume | 56 | - |
dc.type.docType | Article | - |
dc.publisher.location | 네델란드 | - |
dc.subject.keywordAuthor | As-is model | - |
dc.subject.keywordAuthor | BIM | - |
dc.subject.keywordAuthor | Laser scanner | - |
dc.subject.keywordAuthor | Point cloud | - |
dc.subject.keywordAuthor | Object recognition | - |
dc.subject.keywordAuthor | Energy simulation | - |
dc.subject.keywordPlus | 3D CAD MODEL | - |
dc.subject.keywordPlus | RECONSTRUCTION | - |
dc.subject.keywordPlus | KNOWLEDGE | - |
dc.subject.keywordPlus | QUALITY | - |
dc.relation.journalResearchArea | Construction & Building Technology | - |
dc.relation.journalResearchArea | Engineering | - |
dc.relation.journalWebOfScienceCategory | Construction & Building Technology | - |
dc.relation.journalWebOfScienceCategory | Engineering, Civil | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
84, Heukseok-ro, Dongjak-gu, Seoul, Republic of Korea (06974)02-820-6194
COPYRIGHT 2019 Chung-Ang University All Rights Reserved.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.