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Title: An application oriented scan-to-bim framework
Authors: Wang, Q
Guo, J
Kim, MK 
Keywords: 3D laser scanning
As-is BIM reconstruction
Building information modelling (BIM)
Information requirements
Scan data quality
Scanning parameters
Issue Date: 2019
Publisher: Molecular Diversity Preservation International (MDPI)
Source: Remote sensing, 2019, v. 11, no. 3, 365 How to cite?
Journal: Remote sensing 
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 However, building information in BIM models can be inaccurate, out-of-date, or missing in real-world projects. 3D laser scanning has been leveraged to capture the accurate as-is conditions of buildings and create as-is BIM models of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.
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 (
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
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