This paper presents a system to determine differences between 3D reconstructed interiors and their corresponding3D planning data with the aim of correcting identified differences and updating the 3D planning data based onthese deviations. Therefore, a point-based comparison algorithm was developed with which deviations can berecognized regardless of the topology of the data used. Usually, resolution and topology of a 3D reconstruction donot match the CAD data. Here, our solution overcomes this problem by segmenting and extracting objects relevantfor comparison (e.g., doors, windows) from the reconstruction and planning data separately with a subsequentanalysis of the proximity of these objects to connected walls within the corresponding data set. Starting from theconnection points of a segmented object to its walls, adjacent spatial data is located for a correction of detecteddifferences to update the 3D planning data. The quality of the result of the developed process is shown in differentexamples localizing doors and windows to find deviations. In addition, detected differences between the planningand the measurement data are visualized and compared with the ground truth state of the building interior.
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