Semi-automated generation of 3D as-is models from 3D laser scans using a custom-developed dynamo script : a contribution to the automatization of the Scan-to-BIM workflow

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Volland, Vivien and Zuluaga, Maria and Schmidt, Jakob and Eichhorn, Andreas; Moreno-Rangel, Alejandro and Kumar, Bimal, eds. (2025) Semi-automated generation of 3D as-is models from 3D laser scans using a custom-developed dynamo script : a contribution to the automatization of the Scan-to-BIM workflow. In: EG-ICE 2025. University of Strathclyde Publishing, GBR, pp. 485-495. ISBN 9781914241826 (https://doi.org/10.17868/strath.00093313)

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Abstract

Scan-to-BIM technology offers significant benefits for modelling as-is buildings, enabling accurate digital representations of existing structures for modernisation, analysis, and facility management. Automating the modelling in Scan-to-BIM workflows is increasingly necessary, resulting in improved efficiency, accuracy and time savings. Existing gaps are identified, particularly in time-consuming manual interventions, emphasizing the need for workflows incorporating increased automation. This work addresses this need by developing a customized Dynamo script for generating 3D models from 3D laser scans captured with the Zoller+Fröhlich Imager 5016. As part of this work, a case study on sections of a building is conducted to compare the developed approach using the customized Dynamo script with an alternative approach based on existing software solutions. Deviation analyses indicate that the Dynamo-based approach achieves a more accurate representation of the building structures. The results highlight the advancements in Scan-to-BIM automation, identify areas for improvement and outline future research directions.

  • Item type:Book Section
    ID code:93313
    Dates:
    Date
    Event
    1 July 2025
    Published
    9 June 2025
    Accepted
    Subjects:Fine Arts > Architecture
    Department:Faculty of Engineering > Architecture
    Depositing user: Pure Administrator
    Date deposited:30 Jun 2025 13:47
    Last modified:01 Aug 2026 00:16
    URI:https://strathprints.strath.ac.uk/id/eprint/93313
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