Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/80664
PIRA download icon_1.1View/Download Full Text
Title: An application oriented scan-to-bim framework
Authors: Wang, Q
Guo, J
Kim, MK 
Issue Date: 2019
Source: Remote sensing, 2019, v. 11, no. 3, 365
Abstract: Building information modelling (BIM) has been adopted in the construction industry. The success of BIM implementation relies on the accurate building information stored in BIM models. However, building information in BIM models can be inaccurate, out-of-date, or missing in real-world projects. 3D laser scanning has been leveraged to capture the accurate as-is conditions of buildings and create as-is BIM models of buildings; this is known as the scan-to-BIM process. Although industry practitioners and researchers have implemented and studied the scan-to-BIM process, there is no framework that systematically defines and discusses the key steps and considerations in the process. This study proposes an application-oriented framework for scan-to-BIM, which describes the four major steps of a scan-to-BIM process and their relationships. The framework is oriented towards the specific BIM application to be implemented using the created as-is BIM, and includes four steps: (1) identification of information requirements, (2) determination of required scan data quality, (3) scan data acquisition, and (4) as-is BIM reconstruction. Two illustrative examples are provided to demonstrate the feasibility of the proposed scan-to-BIM framework. Furthermore, future research directions within the scan-to-BIM framework are suggested.
Keywords: 3D laser scanning
As-is BIM reconstruction
Building information modelling (BIM)
Information requirements
Scan data quality
Scan-to-BIM
Scanning parameters
Publisher: Molecular Diversity Preservation International (MDPI)
Journal: Remote sensing 
EISSN: 2072-4292
DOI: 10.3390/rs11030365
Rights: © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
The following publication Wang Q, Guo J, Kim M-K. An Application Oriented Scan-to-BIM Framework. Remote Sensing. 2019; 11(3):365 is available at https://doi.org/10.3390/rs11030365
Appears in Collections:Journal/Magazine Article

Files in This Item:
File Description SizeFormat 
Wang_application_oriented_scan.pdf4.07 MBAdobe PDFView/Open
Open Access Information
Status open access
File Version Version of Record
Access
View full-text via PolyU eLinks SFX Query
Show full item record

Page views

164
Last Week
2
Last month
Citations as of May 5, 2024

Downloads

112
Citations as of May 5, 2024

SCOPUSTM   
Citations

78
Citations as of Apr 26, 2024

WEB OF SCIENCETM
Citations

62
Citations as of May 2, 2024

Google ScholarTM

Check

Altmetric


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