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A novel approach for as-built BIM updating using inertial measurement unit and mobile laser scanner

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posted on 2025-03-25, 15:22 authored by Yuchen Yang, Yung-Tsang Chen, Craig HancockCraig Hancock, Nicholas A.S. Hamm, Zhiang Zhang
Building Information Modeling (BIM) has recently been widely applied in the Architecture, Engineering, and Construction Industry (AEC). BIM graphical information can provide a more intuitive display of the building and its contents. However, during the Operation and Maintenance (O&M) stage of the building lifecycle, changes may occur in the building’s contents and cause inaccuracies in the BIM model, which could lead to inappropriate decisions. This study aims to address this issue by proposing a novel approach to creating 3D point clouds for updating as-built BIM models. The proposed approach is based on Pedestrian Dead Reckoning (PDR) for an Inertial Measurement Unit (IMU) integrated with a Mobile Laser Scanner (MLS) to create room-based 3D point clouds. Unlike conventional methods previously undertaken where a Terrestrial Laser Scanner (TLS) is used, the proposed approach utilizes low-cost MLS in combination with IMU to replace the TLS for indoor scanning. The approach eliminates the process of selecting scanning points and leveling of the TLS, enabling a more efficient and cost-effective creation of the point clouds. Scanning of three buildings with varying sizes and shapes was conducted. The results indicated that the proposed approach created room-based 3D point clouds with centimeter-level accuracy; it also proved to be more efficient than the TLS in updating the BIM models.

Funding

Ningbo Science and Technology Bureau under grant number: 2023J189

Seed Fund from the University of Nottingham Ningbo China under grant number: RESI202209001

History

School

  • Architecture, Building and Civil Engineering

Published in

Remote Sensing

Volume

16

Issue

15

Publisher

MDPI

Version

  • VoR (Version of Record)

Rights holder

© The Author(s)

Publisher statement

This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).

Acceptance date

2024-07-24

Publication date

2024-07-26

Copyright date

2024

eISSN

2072-4292

Language

  • en

Depositor

Dr Craig Hancock. Deposit date: 17 October 2024

Article number

2743

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