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RSS FeedsRemote Sensing, Vol. 11, Pages 365: An Application Oriented Scan-to-BIM Framework (Remote Sensing)

 
 

12 february 2019 12:00:16

 
Remote Sensing, Vol. 11, Pages 365: An Application Oriented Scan-to-BIM Framework (Remote Sensing)
 


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 However, building information in BIM models can be inaccurate, out-of-date, or missing in real-world projects. 3D laser scanning has been leveraged to capture the accurate as-is conditions of buildings and create as-is BIM models of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.


 
82 viewsCategory: Geology, Physics
 
Remote Sensing, Vol. 11, Pages 366: Soil Moisture Retrieval Model for Remote Sensing Using Reflected Hyperspectral Information (Remote Sensing)
Remote Sensing, Vol. 11, Pages 370: Addressing Challenges for Mapping Irrigated Fields in Subhumid Temperate Regions by Integrating Remote Sensing and Hydroclimatic Data (Remote Sensing)
 
 
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