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Construction progress monitoring is a primarily manual and time consuming process which is usually based on 2D plans and thereforehas a need for an increased automation. In this paper an approach is introduced for comparing a planned state of a building (as-planned)derived from a Building Information Model (BIM) to a photogrammetric point cloud (as-built). In order to accomplish the comparisona triangle-based representation of the building model is used. The approach has two main processing steps. First, visibility checks areperformed to determine whether or not elements of the building are potentially built. The remaining parts can be either categorized asfree areas, which are definitely not built, or as unknown areas, which are not visible. In the second step it is determined if the potentiallybuilt parts can be confirmed by the surrounding points. This process begins by splitting each triangle into small raster cells. For eachraster cell a measure is calculated using three criteria: the mean distance of the points, their standard deviation and the deviation froma local plane fit. A triangle is confirmed if a sufficient number of raster cells yield a high rating by the measure. The approach istested based on a real case inner city scenario. Only triangles showing unambiguous results are labeled with their statuses, because it isintended to use these results to infer additional statements based on dependencies modeled in the BIM. It is shown that the label builtis reliable and can be used for further analysis. As a drawback this comes with a high percentage of ambiguously classified elements,for which the acquired data is not sufficient (in terms of coverage and/or accuracy) for validation

VALIDATION OF BIM COMPONENTS BY PHOTOGRAMMETRIC POINT CLOUDS FOR CONSTRUCTION SITE MONITORING