File Download
  Links for fulltext
     (May Require Subscription)
Supplementary

Conference Paper: Towards fully automatic Scan-to-BIM: A prototype method integrating deep neural networks and architectonic grammar

TitleTowards fully automatic Scan-to-BIM: A prototype method integrating deep neural networks and architectonic grammar
Authors
Issue Date12-Jul-2023
Abstract

Building Information Modeling (BIM) has presented great potential in the construction industry. Scan-to-BIM is highly demanded to boost automation for creating as-built BIMs. This paper focuses on an extreme case -- fully automatic Scan-to-BIM, on which recent advances in deep neural networks (DNNs) shed light. We present a prototype FLKPP that integrates DNNs with architectonic grammar. FLKPP won 2nd place in 3D reconstruction and 3rd place in 2D reconstruction in the 2nd International Scan-to-BIM Challenge. Nevertheless, the results of all methods in the Challenge were still limited, indicating a long way leading to the complete automation of Scan-to-BIM.


Persistent Identifierhttp://hdl.handle.net/10722/344270

 

DC FieldValueLanguage
dc.contributor.authorWu, Yijie-
dc.contributor.authorLi, Maosu-
dc.contributor.authorXue, Fan-
dc.date.accessioned2024-07-16T03:42:08Z-
dc.date.available2024-07-16T03:42:08Z-
dc.date.issued2023-07-12-
dc.identifier.urihttp://hdl.handle.net/10722/344270-
dc.description.abstract<p> <span>Building Information Modeling (BIM) has presented great potential in the construction industry. Scan-to-BIM is highly demanded to boost automation for creating as-built BIMs. This paper focuses on an extreme case -- fully automatic Scan-to-BIM, on which recent advances in deep neural networks (DNNs) shed light. We present a prototype FLKPP that integrates DNNs with architectonic grammar. FLKPP won 2nd place in 3D reconstruction and 3rd place in 2D reconstruction in the 2nd International Scan-to-BIM Challenge. Nevertheless, the results of all methods in the Challenge were still limited, indicating a long way leading to the complete automation of Scan-to-BIM.</span> <br></p>-
dc.languageeng-
dc.relation.ispartof2023 European Conference on Computing in Construction and the 40th International CIB W78 Conference (09/07/2023-13/07/2023, Heraklioin, Crete)-
dc.titleTowards fully automatic Scan-to-BIM: A prototype method integrating deep neural networks and architectonic grammar-
dc.typeConference_Paper-
dc.description.naturepublished_or_final_version-
dc.identifier.doi10.35490/EC3.2023.257-
dc.identifier.scopuseid_2-s2.0-85177221113-

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats