< Terug naar vorige pagina

Publicatie

IFC Wall reconstruction from unstructured point clouds

Tijdschriftbijdrage - Tijdschriftartikel Conferentiebijdrage

The automated reconstruction of Building Information Modelling (BIM) objects from point cloud data is still ongoing research. A key aspect is the accurate creation of wall geometry as it forms the basis for further reconstruction of objects in a BIM. After segmenting and classifying the initial point cloud, the labelled segments are interpreted and the wall topology is reconstructed. However, the process is challenging due to noise, occlusions and the complexity of the input data. In this work, a method is presented to automatically reconstruct consistent wall geometry from point clouds. More specifically, the use of room information is proposed to aid the wall topology creation. First, a set of partial walls is constructed based on classified planar primitives. Next, the rooms are identified using the retrieved wall information along with the floors and ceilings. The wall topology is computed by the intersection of the partial walls conditioned on the room information. The final wall geometry is defined by creating IfcWallStandardCase objects conform the IFC4 standard. The result is a set of walls according to the as-built conditions of a building. The experiments prove that the used method is a reliable framework for wall reconstruction from unstructured point cloud data. Also, the implementation of room information reduces the rate of false positives for the wall topology. Given the walls, ceiling and floor information, 94% of the rooms is correctly identified. A key advantage of the proposed method is that it deals with complex rooms and is not dependent on storey information.
Tijdschrift: ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
ISSN: 2194-9042
Issue: 2
Volume: 4
Pagina's: 33 - 39
Jaar van publicatie:2018
Toegankelijkheid:Open