Due to numerous trades, subcontractors, and planers, construction projects are tough to manage and monitor. It is necessary to regularly carry out quantitative and qualita-tive inspections regarding the constantly growing obligation to document and safety regulations. The thesis compares the state-of-the-art approaches for the work with point clouds and 3D building models. It explains the particular process when dealing with point clouds and scaffolding. To find the deviation between the point cloud and the model, the software Autodesk Point Layout and a Python code are tested. With the help of the Python code, which was developed in this thesis, it is possible to in-vestigate different parameters' influence on the result. One most important is the point cloud density. The thesis shows that the 3D model consists of many single areas with a broad spread in their size. This leads to a massive potential for the computation time since a minimal amount of the areas make up a considerable part of the total surface size. Other parameters that influence the quality of the result massively are the threshold for the distance between the model and point cloud and the minimal amount of 3D points per facet.     «

Due to numerous trades, subcontractors, and planers, construction projects are tough to manage and monitor. It is necessary to regularly carry out quantitative and qualita-tive inspections regarding the constantly growing obligation to document and safety regulations. The thesis compares the state-of-the-art approaches for the work with point clouds and 3D building models. It explains the particular process when dealing with point clouds and scaffolding. To find the deviation between the point c...     »