2D-based Indoor Mobile Laser Scanning for Construction Digital Mapping Application with BIM

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Presented at the FIG Congress 2018, May 6-11, 2018 in Istanbul, Turkey 2D-based Indoor Mobile Laser Scanning for Construction Digital Mapping Application with BIM Chao CHEN Llewellyn TANG Craig M HANCOCK Jingjing YAN, Huib de LIGT, Penghe ZHANG Faculty of Science and Engineering, UNNC May 6-11, 2018 FIG Congress, Istanbul, Turkey

CONTENT Research Team Introduction Study Background Introduction Aim and Objective Methodology Result Analysis Conclusion

Research Team Introduction Chao Chen (1 st author) PhD candidate in BIM & GIS Integration Domain, Researcher of D-CiTi Lab, Department of Architecture and Built Environment Llewellyn Tang (corresponding) Associate Professor in Construction Management, Engineering, Head of D-CiTi Lab, Department of Architecture and Built Environment Craig M Hancock (co-author) Professor in Geospatial Engineering, Department of Civil Engineering Jingjing Yan (co-author) PhD candidate in Digital Economy, Department of Geographical Science Huib de Ligt (co-author) Senior Laboratory and Field Work Teacher (Engineering Surveying/GNSS), Department of Civil Engineering Penghe Zhang (co-author) PhD candidate in Integration of GNSS with Geotechnical Sensors, Department of Civil Engineering

Study Background Introduction Issue: 3D laser scanning technology used for construction indoor data collection for as-built quality control or retrofitting of existing buildings. However, Terrestrial Laser Scanning (TLS) Disadvantages: high cost, stationary, inconvenient carrying, complex preparation work, long duration etc. Aerial Laser Scanning (ALS) Disadvantages: high cost, risk of taking off, site limitation (indoor), weather influence, etc.

Study Background Introduction Therefore, a lower-cost, more time-saving, more convenient and flexible method of laser scanning is required particularly for building indoor mapping applications. This study proposes that: 2D laser scanner + indoor positioning approach = 3D indoor mobile laser scanning 2D laser scanner + IMU/GPS positioning = 3D indoor mobile laser scanning

Study Background Introduction Building Information Modelling (BIM) is an emerging digital technology for AEC industry. It brings lots of benefits such as: Visualization; Design optimization; Clash detection; Construction simulation; Multi-disciplinary collaboration; Cost estimation; Therefore, Indoor Laser Scanning + BIM Modelling = Indoor Digital Mapping

Aim and Objective Aim: Develop a 2D-based mobile laser scanning method that can be integrated with BIM for construction indoor mapping applications. Objectives: Develop a low-cost, time saving and portable laser scanning approach which integrates a 2D laser scanner with indoor positioning method; Combine the laser scanning result with BIM design model to check the discrepancy between reality and design; Propose an idea which combines laser scanning and BIM to extend further applications for construction indoor mapping, such as quality control, maintenance management, repair plan making, etc.

Methodology Indoor Positioning 2D Laser Scanner BIM 3D Point Cloud Middleware-based Data Integration Digital Model Integrated Model Indoor Mapping Application

Result Analysis Original 3D point cloud Processed 3D point cloud 3D point cloud in middleware

Result Analysis Left model is the design BIM model of the experimental site room; right model is the model that combines the design with 3D point cloud.

Result Analysis Left is the reality view of the experimental site and right is the digital model that combines BIM model and real collected 3D point cloud. Compared with the real site conditions, the information provided by digital indoor mapping is still reliable although there are some little discrepancies, which may be due to the data processing errors or the variations during the construction process.

Conclusion Compared with stationary 3D laser scanning technologies, this study shows an innovative laser scanning approach that has mobility, flexibility and other advantages including low cost and time saving. Although there are some weakness in accuracy compared with high-cost laser scanning, this approach still shows a good feasibility and reliability for practical applications. This study proposes a method to integrate real generated point clouds with BIM model to realize a digital indoor mapping for construction applications. Further improvements in equipment, data processing and operation details are expected to enhance the performance of this approach.

Reference Alomari, K., Gambatese, J. & Olsen, M. J., 2016, Role of BIM and 3D Laser Scanning on Job sites from the Perspective of Construction Project Management Personnel, Construction Research Congress 2016: Old and New Construction Technologies Converge in Historic San Juan, pp. 2532-2541. Barber, D., Mills, J. & Smith-Voysey, S., 2008, Geometric validation of a ground-based mobile laser scanning system. ISPRS Journal of Photogrammetry and Remote Sensing, 63, pp. 128-141. Hong, S., Jung, J., Kim, S., Cho, H., Lee, J. & HEO, J., 2015, Semi-automated approach to indoor mapping for 3D as-built building information modeling. Computers, Environment and Urban Systems, 51, pp.34-46. Kedzierski, M. & Fryskowska, A., 2014, Terrestrial and Aerial Laser Scanning Data Integration Using Wavelet Analysis for the Purpose of 3D Building Modeling, Sensor 2014, 14, pp. 12070-12092. Klein, I. & Filin, S., 2011, LiDAR and INS Fusion in Periods of GPS Outages for Mobile Laser Scanning Mapping Systems, International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XXXVIII-5/W12. Stephen, F., Deegan, C., Mulvihill, C., Fitzgerald, C., Markham, C. & McLoughlin, S., 2006, Inertial Navigation Sensor and GPS integrated for mobile mapping, Institute of Technology Blanchardstown, ITB, Dublin 15, Ireland. Tang, P., Huber, D., Akinci, B., Lipman, R. & Lytle, A., 2010, Automatic reconstruction of as-built building information models from laser-scanned point clouds: A review of related techniques. Automation in Construction, 19, pp.829-843. Thomson, C., Apostolopoulos, G., Backes, D. & Boehm, J., 2013, Mobile Laser Scanning for Indoor Modelling, ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, II-5/W2.

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