Technical Papers
Oct 5, 2018

Evaluation of Terrestrial and Mobile Scanner Technologies for Part-Built Information Modeling

This article has a reply.
VIEW THE REPLY
This article has a reply.
VIEW THE REPLY
Publication: Journal of Construction Engineering and Management
Volume 144, Issue 12

Abstract

The focus of this paper is on the relatively under explored area of partially completed (part-built) information modeling because this can assist during on-site construction processes. Additionally, incremental models will support the as-built model through demonstration of hidden construction in the finished building. This is achieved by evaluating state-of-the-art scanner technologies to determine relative performance and accuracy in creating part-built models. Five laser-based scenarios using state-of-the-art handheld and terrestrial scanners were deployed to examine their capability to accurately produce part-built modeling from constructed objects. It was found that terrestrial scanners provided more accurate part-built information models, although the operation process is technical and requires skilled operators. However, handheld instruments avoid individual setup points and take less time than a terrestrial station when scanning typical internal building floor areas. This study contributes to the body of knowledge by developing the concept of part-built information modeling using scanner technology, as well as by creating related evaluation criteria.

Get full access to this article

View all available purchase options and get full access to this article.

Data Availability Statement

All data generated or analyzed during the study are included in the published paper. Information about the Journal’s data-sharing policy can be found here: http://ascelibrary.org/doi/10.1061/(ASCE)CO.1943-7862.0001263.

Acknowledgments

Thanks to the University of New South Wales, Sydney for providing tools and the point clouds.

References

Altendorfer, R., N. Moore, H. Komsuoglu, M. Buehler, H. Brown, D. McMordie, U. Saranli, R. Full, and D. E. Koditschek. 2001. “RHex: A biologically inspired hexapod runner.” Auton. Robots 11 (3): 207–213. https://doi.org/10.1023/A:1012426720699.
ANSI-NCITS. 1998. Information technology-high-performance parallel interface-6400 Mbit/s physical layer (HIPPI-6400-PH). NCITS 323. Palo Alto, CA: ANSI-NCITS.
Arayici, Y. 2007. “An approach for real world data modelling with the 3D terrestrial laser scanner for built environment.” Autom. Constr. 16 (6): 816–829. https://doi.org/10.1016/j.autcon.2007.02.008.
ASPRS (American Society for Photogrammetry and Remote Sensing). 1990. “ASPRS accuracy standards for large-scale maps.” Photogramm. Eng. Remote Sens. 56 (7): 1068–1070.
Azhar, S., M. Khalfan, and T. Maqsood. 2015. “Building information modelling (BIM): Now and beyond.” Constr. Econ. Build. 12 (4): 15–28. https://doi.org/10.5130/ajceb.v12i4.3032.
Balado, J., L. Díaz-Vilariño, P. Arias, and H. González-Jorge. 2018. “Automatic classification of urban ground elements from mobile laser scanning data.” Autom. Constr. 86: 226–239. https://doi.org/10.1016/j.autcon.2017.09.004.
Bhatla, A., S. Y. Choe, O. Fierro, and F. Leite. 2012. “Evaluation of accuracy of as-built 3D modeling from photos taken by handheld digital cameras.” Autom. Constr. 28: 116–127. https://doi.org/10.1016/j.autcon.2012.06.003.
Bornaz, L., and F. Rinaudo. 2004. “Terrestrial laser scanner data processing.” In Proc., ISPRS Conf. Commission V. Istanbul, Turkey: International Society for Photogrammetry and Remote Sensing.
Bosché, F., M. Ahmed, Y. Turkan, C. T. Haas, and R. Haas. 2015. “The value of integrating scan-to-BIM and scan-vs-BIM techniques for construction monitoring using laser scanning and BIM: The case of cylindrical MEP components.” Autom. Constr. 49: 201–213. https://doi.org/10.1016/j.autcon.2014.05.014.
Bosse, M., R. Zlot, and P. Flick. 2012. “Zebedee: Design of a spring-mounted 3-D range sensor with application to mobile mapping.” IEEE Trans. Robot. 28 (5): 1104–1119. https://doi.org/10.1109/TRO.2012.2200990.
Burrows, N. 2015. “A comparative analysis of terrestrial laser scanning (TLS) and structure from motion (SfM) photogrammetry for measuring fluvial sediments.” Ph.D. dissertation, School of Environment and Life Sciences, Univ. of Salford.
Chai, J., H.-L. Chi, X. Wang, C. Wu, K. H. Jung, and J. M. Lee. 2016. “Automatic as-built modeling for concurrent progress tracking of plant construction based on laser scanning.” Concurrent Eng. 24 (4): 369–380. https://doi.org/10.1177/1063293X16670449.
Chai, T., and R. R. Draxler. 2014. “Root mean square error (RMSE) or mean absolute error (MAE)?—Arguments against avoiding RMSE in the literature.” Geosci. Model Dev. 7 (3): 1247–1250. https://doi.org/10.5194/gmd-7-1247-2014.
Cory, C. A. 2001. “Utilization of 2D, 3D, or 4D CAD in construction communication documentation.” In Proc., 5th Int. Conf. on Information Visualisation. London: IEEE.
Czerniawski, T., M. Nahangi, C. Haas, and S. Walbridge. 2016. “Pipe spool recognition in cluttered point clouds using a curvature-based shape descriptor.” Autom. Constr. 71: 346–358. https://doi.org/10.1016/j.autcon.2016.08.011.
Dix, M., A. Abd-Elrahman, B. Dewitt, and L. Nash Jr. 2012. “Accuracy evaluation of terrestrial LIDAR and multibeam sonar systems mounted on a survey vessel.” J. Surv. Eng. 138 (4): 203–213. https://doi.org/10.1061/(ASCE)SU.1943-5428.0000075.
Dore, C., and M. Murphy. 2014. “Semi-automatic generation of as-built BIM façade geometry from laser and image data.” J. Inf. Technol. Constr. 19 (2): 20–46.
Fang, Y., and Y. K. Cho. 2016. “Effectiveness analysis from a cognitive perspective for a real-time safety assistance system for mobile crane lifting operations.” J. Constr. Eng. Manage. 143 (4): 05016025. https://doi.org/10.1061/(ASCE)CO.1943-7862.0001258.
Fekete, S., and M. Diederichs. 2013. “Integration of three-dimensional laser scanning with discontinuum modelling for stability analysis of tunnels in blocky rockmasses.” Int. J. Rock Mech. Min. Sci. 57: 11–23. https://doi.org/10.1016/j.ijrmms.2012.08.003.
Gheisari, M., M. Foroughi Sabzevar, P. Chen, and J. Irizzary. 2016. “Integrating BIM and panorama to create a semi-augmented-reality experience of a construction site.” Int. J. Constr. Educ. Res. 12 (4): 303–316. https://doi.org/10.1080/15578771.2016.1240117.
Giel, B., and R. R. A. Issa. 2011. “Using laser scanning to access the accuracy of as-built BIM.” In Proc., Int. Workshop on Computing in Civil Eng.ineering, 665–672. Miami: ASCE.
González-Jorge, H., J. Martínez Sánchez, L. Díaz-Vilariño, I. Puente, and P. Arias. 2016. “Automatic registration of mobile LiDAR data using high-reflectivity traffic signs.” J. Constr. Eng. Manage. 142 (8): 04016022. https://doi.org/10.1061/(ASCE)CO.1943-7862.0001143.
Goodwin, N. R., J. D. Armston, J. Muir, and I. Stiller. 2017. “Monitoring gully change: A comparison of airborne and terrestrial laser scanning using a case study from Aratula, Queensland.” Geomorphology 282: 195–208. https://doi.org/10.1016/j.geomorph.2017.01.001.
Han, K., J. Degol, and M. Golparvar-Fard. 2018. “Geometry- and appearance-based reasoning of construction progress monitoring.” J. Constr. Eng. Manage. 144 (2): 04017110. https://doi.org/10.1061/(ASCE)CO.1943-7862.0001428.
HMG (Her Majesty’s Government). 2013. Digital built Britain level 3 building information modelling: Strategic plan. London: UK Government.
Huber, D., B. Akinci, A. Oliver, E. Anil, B. Okorn, and X. Xiong. 2011. “Methods for automatically modeling and representing as-built building information models.” In Proc., NSF CMMI Research Innovation Conf. Atlanta: Carnegie Mellon Univ.
Jeyapalan, K. 2004. “Mobile digital cameras for as-built surveys of roadside features.” Photogramm. Eng. Remote Sens. 70 (3): 301–312. https://doi.org/10.14358/PERS.70.3.301.
Jung, J., S. Hong, S. Jeong, S. Kim, H. Cho, S. Hong, and J. Heo. 2014. “Productive modeling for development of as-built BIM of existing indoor structures.” Autom. Constr. 42: 68–77. https://doi.org/10.1016/j.autcon.2014.02.021.
Kim, M.-K., Q. Wang, J.-W. Park, J. C. P. Cheng, H. Sohn, and C.-C. Chang. 2016. “Automated dimensional quality assurance of full-scale precast concrete elements using laser scanning and BIM.” Autom. Constr. 72: 102–114. https://doi.org/10.1016/j.autcon.2016.08.035.
Klein, L., N. Li, and B. Becerik-Gerber. 2012. “Imaged-based verification of as-built documentation of operational buildings.” Autom. Constr. 21: 161–171. https://doi.org/10.1016/j.autcon.2011.05.023.
Lagüela, S., L. Díaz-Vilariño, J. Armesto, and P. Arias. 2014. “Non-destructive approach for the generation and thermal characterization of an as-built BIM.” Constr. Build. Mater. 51: 55–61. https://doi.org/10.1016/j.conbuildmat.2013.11.021.
Lee, J., H. Son, C. Kim, and C. Kim. 2013. “Skeleton-based 3D reconstruction of as-built pipelines from laser-scan data.” Autom. Constr. 35: 199–207. https://doi.org/10.1016/j.autcon.2013.05.009.
Leite, F., A. Akcamete, B. Akinci, G. Atasoy, and S. Kiziltas. 2011. “Analysis of modeling effort and impact of different levels of detail in building information models.” Autom. Constr. 20 (5): 601–609. https://doi.org/10.1016/j.autcon.2010.11.027.
Leite, F., Y. Cho, A. H. Behzadan, S. Lee, S. Choe, Y. Fang, R. Akhavian, and S. Hwang. 2016. “Visualization, information modeling, and simulation: Grand challenges in the construction industry.” J. Comput. Civ. Eng. 30 (6): 04016035. https://doi.org/10.1061/(ASCE)CP.1943-5487.0000604.
Liu, R., J. Du, R. R. Issa, and B. Giel. 2017. “BIM cloud score: Building information model and modeling performance benchmarking.” J. Constr. Eng. Manage. 143 (4): 04016109. https://doi.org/10.1061/(ASCE)CO.1943-7862.0001251.
Mill, T., A. Alt, and R. Liias. 2014. “Combined 3D building surveying techniques—Terrestrial laser scanning (TLS) and total station surveying for BIM data management purposes.” Supplement, J. Civ. Eng. Manage. 19 (S1): S23–S32. https://doi.org/10.3846/13923730.2013.795187.
Omar, T., and M. L. Nehdi. 2016. “Data acquisition technologies for construction progress tracking.” Autom. Constr. 70: 143–155. https://doi.org/10.1016/j.autcon.2016.06.016.
Oskouie, P., B. Becerik-Gerber, and L. Soibelman. 2016. “Automated measurement of highway retaining wall displacements using terrestrial laser scanners.” Autom. Constr. 65: 86–101. https://doi.org/10.1016/j.autcon.2015.12.023.
Pandžić, J., M. Pejić, B. Božić, and V. Erić. 2017. “Error model of direct georeferencing procedure of terrestrial laser scanning.” Autom. Constr. 78: 13–23. https://doi.org/10.1016/j.autcon.2017.01.003.
Patil, A. K., P. Holi, S. K. Lee, and Y. H. Chai. 2017. “An adaptive approach for the reconstruction and modeling of as-built 3D pipelines from point clouds.” Autom. Constr. 75: 65–78. https://doi.org/10.1016/j.autcon.2016.12.002.
Rausch, C., M. Nahangi, C. Haas, and J. West. 2017. “Kinematics chain based dimensional variation analysis of construction assemblies using building information models and 3D point clouds.” Autom. Constr. 75: 33–44. https://doi.org/10.1016/j.autcon.2016.12.001.
Riveiro, B., M. J. DeJong, and B. Conde. 2016. “Automated processing of large point clouds for structural health monitoring of masonry arch bridges.” Autom. Constr. 72: 258–268. https://doi.org/10.1016/j.autcon.2016.02.009.
Rüther, H., M. Chazan, R. Schroeder, R. Neeser, C. Held, S. J. Walker, A. Matmon, and L. K. Horwitz. 2009. “Laser scanning for conservation and research of African cultural heritage sites: The case study of Wonderwerk Cave, South Africa.” J. Archaeolog. Sci. 36 (9): 1847–1856. https://doi.org/10.1016/j.jas.2009.04.012.
Son, H., and C. Kim. 2016. “Automatic segmentation and 3D modeling of pipelines into constituent parts from laser-scan data of the built environment.” Autom. Constr. 68: 203–211. https://doi.org/10.1016/j.autcon.2016.05.010.
Su, Y., Y. Hashash, and L. Liu. 2006. “Integration of construction as-built data via laser scanning with geotechnical monitoring of urban excavation.” J. Constr. Eng. Manage. 132 (12): 1234–1241. https://doi.org/10.1061/(ASCE)0733-9364(2006)132:12(1234).
Suchocki, C., and J. Katzer. 2016. “An example of harnessing terrestrial laser scanner for remote sensing of saturation of chosen building materials.” Constr. Build. Mater. 122: 400–405. https://doi.org/10.1016/j.conbuildmat.2016.06.091.
Tang, P., D. Huber, B. Akinci, R. Lipman, and A. Lytle. 2010. “Automatic reconstruction of as-built building information models from laser-scanned point clouds: A review of related techniques.” Autom. Constr. 19 (7): 829–843. https://doi.org/10.1016/j.autcon.2010.06.007.
Wang, Q., M.-K. Kim, J. C. P. Cheng, and H. Sohn. 2016. “Automated quality assessment of precast concrete elements with geometry irregularities using terrestrial laser scanning.” Autom. Constr. 68: 170–182. https://doi.org/10.1016/j.autcon.2016.03.014.
Xiong, X., A. Adan, B. Akinci, and D. Huber. 2013. “Automatic creation of semantically rich 3D building models from laser scanner data.” Autom. Constr. 31: 325–337. https://doi.org/10.1016/j.autcon.2012.10.006.
Xu, J., L. Ding, and P. E. D. Love. 2017. “Digital reproduction of historical building ornamental components: From 3D scanning to 3D printing.” Autom. Constr. 76: 85–96. https://doi.org/10.1016/j.autcon.2017.01.010.
Yoon, S., Q. Wang, and H. Sohn. 2018. “Optimal placement of precast bridge deck slabs with respect to precast girders using 3D laser scanning.” Autom. Constr. 86: 81–98. https://doi.org/10.1016/j.autcon.2017.11.004.
Yu, Q., P. Helmholz, and D. Belton. 2016. “Evaluation of model recognition for grammar-based automatic 3d building model reconstruction.” Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci. 41: 63–69. https://doi.org/10.5194/isprsarchives-XLI-B4-63-2016.
Zeibak-Shini, R., R. Sacks, L. Ma, and S. Filin. 2016. “Towards generation of as-damaged BIM models using laser-scanning and as-built BIM: First estimate of as-damaged locations of reinforced concrete frame members in masonry infill structures.” Adv. Eng. Inf. 30 (3): 312–326. https://doi.org/10.1016/j.aei.2016.04.001.
Zhu, Z., and I. Brilakis. 2009. “Comparison of optical sensor-based spatial data collection techniques for civil infrastructure modeling.” J. Comput. Civ. Eng. 23 (3): 170–177. https://doi.org/10.1061/(ASCE)0887-3801(2009)23:3(170).
Zlot, R., P. Borges, and G. Bell. 2015. Royal exhibition building: Zebedee 3D data collection. Brisbane, Australia: CSIRO.

Information & Authors

Information

Published In

Go to Journal of Construction Engineering and Management
Journal of Construction Engineering and Management
Volume 144Issue 12December 2018

History

Received: Sep 16, 2017
Accepted: Jun 18, 2018
Published online: Oct 5, 2018
Published in print: Dec 1, 2018
Discussion open until: Mar 5, 2019

Permissions

Request permissions for this article.

Authors

Affiliations

Samad M. E. Sepasgozar, Ph.D., M.ASCE [email protected]
Senior Lecturer, Faculty of Built Environment, Univ. of New South Wales, Sydney, NSW 2052, Australia (corresponding author). Email: [email protected]; [email protected]
Perry Forsythe, Ph.D. [email protected]
Professor, School of the Built Environment, Univ. of Technology Sydney, Ultimo, NSW 2007, Australia. Email: [email protected]
Sara Shirowzhan, Ph.D., M.ASCE [email protected]
Research Assistant, Faculty of Built Environment, Univ. of New South Wales, Sydney, NSW 2052, Australia. Email: [email protected]

Metrics & Citations

Metrics

Citations

Download citation

If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.

Cited by

View Options

Get Access

Access content

Please select your options to get access

Log in/Register Log in via your institution (Shibboleth)
ASCE Members: Please log in to see member pricing

Purchase

Save for later Information on ASCE Library Cards
ASCE Library Cards let you download journal articles, proceedings papers, and available book chapters across the entire ASCE Library platform. ASCE Library Cards remain active for 24 months or until all downloads are used. Note: This content will be debited as one download at time of checkout.

Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
ASCE Library Card (5 downloads)
$105.00
Add to cart
ASCE Library Card (20 downloads)
$280.00
Add to cart
Buy Single Article
$35.00
Add to cart

Get Access

Access content

Please select your options to get access

Log in/Register Log in via your institution (Shibboleth)
ASCE Members: Please log in to see member pricing

Purchase

Save for later Information on ASCE Library Cards
ASCE Library Cards let you download journal articles, proceedings papers, and available book chapters across the entire ASCE Library platform. ASCE Library Cards remain active for 24 months or until all downloads are used. Note: This content will be debited as one download at time of checkout.

Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
ASCE Library Card (5 downloads)
$105.00
Add to cart
ASCE Library Card (20 downloads)
$280.00
Add to cart
Buy Single Article
$35.00
Add to cart

Media

Figures

Other

Tables

Share

Share

Copy the content Link

Share with email

Email a colleague

Share