Over recent decades, 3D point clouds have been a popular data source applied in automatic
change detection in a wide variety of applications. Compared with 2D images, using 3D …

Point cloud processing is an essential task in many applications in the AEC domain, such as
automated progress assessment, quality control and 3D reconstruction. As much of the …

Construction industry professionals admire the evolution of digital data-acquisition
technologies in monitoring processes due to efficient and efficacious outcomes. However …

The rapidly expanding field of Scan-to-BIM applications highlights the importance of model
uncertainty assessment in describing the quality of modeling results. Although there have …

Change detection has been increasingly studied in remote and close-range sensing in the
last decades, driven by its importance in environment monitoring and database updating …

Change detection is an important step for the characterization of object dynamics at the
earth's surface. In multi-temporal point clouds, the main challenge is to detect true changes …

Automatic comparison of time-variant BIM models facilitates value-added applications
during the building life cycle. This paper addresses a solution capable of exploring changes …

Automated construction progress monitoring using as-planned building information
modeling (BIM) and as-built point cloud data integration has substantial potential and could …

Photogrammetric point clouds offer immense potential for various applications, especially for
the AEC industry and” as-built” BIM. However, despite many advantages such as time and …

Reconstructing semantic 3D building models at the level of detail (LoD) 3 is a long-standing
challenge. Unlike mesh-based models, they require watertight geometry and object-wise …