Automated construction progress monitoring coupling lidar inertial odometry and building information modeling

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Stührenberg, J. and Tandon, A. and Smarsly, K.; Moreno-Rangel, Alejandro and Kumar, Bimal, eds. (2025) Automated construction progress monitoring coupling lidar inertial odometry and building information modeling. In: EG-ICE 2025. University of Strathclyde Publishing, GBR, pp. 326-335. ISBN 9781914241826 (https://doi.org/10.17868/strath.00093227)

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Abstract

Building information modeling (BIM) models contain valuable information for mobile robots deployed to increase the efficiency of automated building inspections. To access the information, robots require accurate localization relative to BIM models. Since BIM models represent the "as-planned" rather than the "as-built" state, localization is challenging due to deviations between BIM models and the reality. In this paper, lidar inertial odometry (LIO) and BIM are coupled in the "LIO-BIM" framework for robust and accurate mobile robot localization and mapping relative to BIM models. LIO-BIM overlays the as-built map with BIM models, enabling automated progress monitoring. The framework is implemented and validated on the ConSLAM dataset, which includes periodically collected data from a 3D lidar, an inertial measurement unit, and a camera at a construction site. The validation tests show robust and accurate 3D localization and mapping relative to BIM models in real-time, enabling effective automated progress monitoring.

  • Item type:Book Section
    ID code:93227
    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:26 Jun 2025 14:45
    Last modified:14 Oct 2026 06:38
    URI:https://strathprints.strath.ac.uk/id/eprint/93227
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