ITcon Vol. 20, pg. 68-79, http://www.itcon.org/2015/5

A concept for automated construction progress monitoring using BIM-based geometric constraints and photogrammetric point clouds

submitted:November 2014
revised:December 2014
published:January 2015
editor(s):Mahdavi A., Martens B.
authors:Alexander Braun
Chair of Computational Modelling and Simulation;
alex.braun@tum.de

Sebastian Tuttas
Department of Photogrammetry and Remote Sensing;
sebastian.tuttas@tum.de

Andre Borrmann
Chair of Computational Modelling and Simulation;
andre.borrmann@tum.de

Uwe Stilla
Department of Photogrammetry and Remote Sensing;
stilla@tum.de
summary:On-site progress monitoring is essential for keeping track of the ongoing work on construction sites. Currently, this task is a manual, time-consuming activity. The research presented here, describes a concept for an automated comparison of the actual state of construction with the planned state for the early detection of deviations in the construction process. The actual state of the construction site is detected by photogrammetric surveys. From these recordings, dense point clouds are generated by the fusion of disparity maps created with semi-global-matching (SGM). These are matched against the target state provided by a 4D Building Information Model (BIM). For matching the point cloud and the BIM, the distances between individual points of the cloud and a componentÕs surface are aggregated using a regular cell grid. For each cell, the degree of coverage is determined. Based on this, a confidence value is computed which serves as basis for the existence decision concerning the respective component. Additionally, process- and dependency-relations are included to further enhance the detection process. Experimental results from a real-world case study are presented and discussed.
keywords:progress monitoring, point clouds, as-built as-planned comparison
full text: (PDF file, 0.766 MB)
citation:Braun A, Tuttas S, Borrmann A, Stilla U (2015). A concept for automated construction progress monitoring using BIM-based geometric constraints and photogrammetric point clouds, ITcon Vol. 20, Special issue ECPPM 2014 - 10th European Conference on Product and Process Modelling, pg. 68-79, http://www.itcon.org/2015/5