9791221502893_02.pdf

Digitalization in the construction industry is increasingly striving to create digital twins in order to continuously exploit optimization potential in the management and utilization of existing buildings. Building Information Modeling (BIM)-based as-is or as-built documentation represents a promisi...

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Γλώσσα:English
Έκδοση: Firenze University Press 2024
Διαθέσιμο Online:https://books.fupress.com/doi/capitoli/979-12-215-0289-3_2
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spelling oapen-20.500.12657-891542024-04-03T02:24:15Z Chapter Building Inspector XR: Streamlining Scan-to-BIM with Virtual and Mixed Reality Heidermann, Dirk Schellong, Felix Blut, Christoph Kinnen, Tristan Blankenbach, Jörg Building Information Modeling Virtual Reality Mixed Reality thema EDItEUR::U Computing and Information Technology::UT Computer networking and communications::UTV Virtualization Digitalization in the construction industry is increasingly striving to create digital twins in order to continuously exploit optimization potential in the management and utilization of existing buildings. Building Information Modeling (BIM)-based as-is or as-built documentation represents a promising basis in this context, which requires creating a geometric model for example based on point clouds as well as semantic enrichment in a Scan-to-BIM workflow. Conventionally, this is carried out manually by specialists on 2D screens and often is time-consuming and costly. The project "Building Inspector XR" addresses these issues and presents an intuitive solution for BIM-based as-is/as-built documentation using X-Reality (XR). In Virtual Reality (VR), BIM models are created off-site from point clouds and then are verified in Mixed Reality (MR) on-site. By integrating (partially) automated methods and targeting user-friendliness in our solution, Scan-to-BIM can be realized more efficiently and intuitively. In this paper, the focus lies on the innovative aspects of our XR application which encompass VR and MR environments, automation support, modeling schemes in compliance with BIM standards, and the registration of models in reality for MR. Additionally, the paper shows the interconnected toolchain that facilitates an efficient Scan-to-BIM workflow 2024-04-02T15:48:09Z 2024-04-02T15:48:09Z 2023 chapter ONIX_20240402_9791221502893_123 2704-5846 9791221502893 https://library.oapen.org/handle/20.500.12657/89154 eng Proceedings e report application/pdf n/a 9791221502893_02.pdf https://books.fupress.com/doi/capitoli/979-12-215-0289-3_2 Firenze University Press 10.36253/979-12-215-0289-3.02 10.36253/979-12-215-0289-3.02 bf65d21a-78e5-4ba2-983a-dbfa90962870 9791221502893 137 10 Florence open access
institution OAPEN
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language English
description Digitalization in the construction industry is increasingly striving to create digital twins in order to continuously exploit optimization potential in the management and utilization of existing buildings. Building Information Modeling (BIM)-based as-is or as-built documentation represents a promising basis in this context, which requires creating a geometric model for example based on point clouds as well as semantic enrichment in a Scan-to-BIM workflow. Conventionally, this is carried out manually by specialists on 2D screens and often is time-consuming and costly. The project "Building Inspector XR" addresses these issues and presents an intuitive solution for BIM-based as-is/as-built documentation using X-Reality (XR). In Virtual Reality (VR), BIM models are created off-site from point clouds and then are verified in Mixed Reality (MR) on-site. By integrating (partially) automated methods and targeting user-friendliness in our solution, Scan-to-BIM can be realized more efficiently and intuitively. In this paper, the focus lies on the innovative aspects of our XR application which encompass VR and MR environments, automation support, modeling schemes in compliance with BIM standards, and the registration of models in reality for MR. Additionally, the paper shows the interconnected toolchain that facilitates an efficient Scan-to-BIM workflow
title 9791221502893_02.pdf
spellingShingle 9791221502893_02.pdf
title_short 9791221502893_02.pdf
title_full 9791221502893_02.pdf
title_fullStr 9791221502893_02.pdf
title_full_unstemmed 9791221502893_02.pdf
title_sort 9791221502893_02.pdf
publisher Firenze University Press
publishDate 2024
url https://books.fupress.com/doi/capitoli/979-12-215-0289-3_2
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