Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-3, 341-345, 2014
https://doi.org/10.5194/isprsarchives-XL-3-341-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
 
11 Aug 2014
Comparision of photogrammetric point clouds with BIM building elements for construction progress monitoring
S. Tuttas1, A. Braun2, A. Borrmann2, and U. Stilla1 1Photogrammetry & Remote Sensing, TU München, 80290 Munich, Germany
2Chair of Computational Modeling and Simulation, TU München, 80290 Munich, Germany
Keywords: Photogrammetric point clouds, construction site, monitoring, building model Abstract. For construction progress monitoring a planned state of the construction at a certain time (as-planed) has to be compared to the actual state (as-built). The as-planed state is derived from a building information model (BIM), which contains the geometry of the building and the construction schedule. In this paper we introduce an approach for the generation of an as-built point cloud by photogrammetry. It is regarded that that images on a construction cannot be taken from everywhere it seems to be necessary. Because of this we use a combination of structure from motion process together with control points to create a scaled point cloud in a consistent coordinate system. Subsequently this point cloud is used for an as-built – as-planed comparison. For that voxels of an octree are marked as occupied, free or unknown by raycasting based on the triangulated points and the camera positions. This allows to identify not existing building parts. For the verification of the existence of building parts a second test based on the points in front and behind the as-planed model planes is performed. The proposed procedure is tested based on an inner city construction site under real conditions.
Conference paper (PDF, 2646 KB)


Citation: Tuttas, S., Braun, A., Borrmann, A., and Stilla, U.: Comparision of photogrammetric point clouds with BIM building elements for construction progress monitoring, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-3, 341-345, https://doi.org/10.5194/isprsarchives-XL-3-341-2014, 2014.

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