Octree-based, automatic building façade generation from LiDAR data

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Title: Octree-based, automatic building façade generation from LiDAR data
Authors: Truong-Hong, Linh
Laefer, Debra F.
Permanent link: http://hdl.handle.net/10197/7451
Date: Aug-2014
Abstract: This paper introduces a new, octree-based algorithm to assist in the automated conversion of laser scanning point cloud data into solid models appropriate for computational analysis. The focus of the work is for typical, urban, vernacular structures to assist in better damage prediction prior to tunnelling. The proposed FaçadeVoxel algorithm automatically detects boundaries of building façades and their openings. Next, it checks and automatically fills unintentional occlusions. The proposed method produced robust and efficient reconstructions of building models from various data densities. When compared to measured drawings, the reconstructed building models were in good agreement, with only 1% relative errors in overall dimensions and 3% errors in openings. In addition, the proposed algorithm was significantly faster than other automatic approaches without compromising accuracy.
Funding Details: European Research Council
Science Foundation Ireland
Type of material: Journal Article
Publisher: Elsevier
Copyright (published version): 2014 Elsevier
Keywords: Light Detection and Ranging (LiDAR)Terrestrial laser scanningMasonry buildingsGeometric modellingComputational modellingFinite element modelling
DOI: 10.1016/j.cad.2014.03.001
Language: en
Status of Item: Peer reviewed
Appears in Collections:Earth Institute Research Collection
Civil Engineering Research Collection

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