Updating 3D Planning Data based on Detected Differences between Real and Planning Data of Building Interiors

Abstract

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.

Visualization of deviations between different geometries using a multi-level voxel-based representation

“…This correlates with the fact that due to advances in augmented reality (AR), 3d sensing, and 3d scanning, many new mobile devices, such as the Samsung S21 Ultra or Apple's iPad, have advanced technologies for acquiring 3d data integrated into their product lineup. In terms of mobile devices, the technologies used (e.g., SfM, ToF, LiDAR) primarily serve to enrich a real scene with digital content, but are also used in the field of 3d reconstruction, as can be seen in the example of Microsoft's HoloLens mixed reality headset or Apple's LiDAR sensor, which are used, for example, in the context of digital construction monitoring and surveying [WWWH21,DGJ21].…”