Proceedings of the 2021 European Conference on Computing in Construction


Void-growing: a novel Scan-to-BIM method for manhattan world buildings from point cloud

Yuandong Pan 1, Alex Braun 1, André Borrmann 1, Ioannis Brilakis 2
1 Technical University of Munich, Germany
2 University of Cambridge, UK

DOI: 10.35490/EC3.2021.162
Abstract: The automated generation of 3D models of buildings from point clouds is under heavy research. Currently, this Scan-to-BIM process requires high manual effort, and the previous research in buildings under low occlusion level. We propose a novel “void-growing” approach that extracts walls, floors, and ceilings automatically. Different from the majority of current approaches starting with detecting surfaces of elements, our approach grows the void volume space inside a room first and it performs well in occluded environments. It can reconstruct simple cuboid rooms and complex rooms like L-shape and U-shape rooms. Different ceiling heights caused by suspended ceilings can also be represented.
Keywords: geometric digital twin (GDT), railway, point cloud data (PCD)
Pages: 312 - 321

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