Shape Grammar Approach to 3D Modeling of Indoor Environments Using Point Clouds

Tran, H, Kealy, A and Diaz-Vilarino, L 2018, 'Shape Grammar Approach to 3D Modeling of Indoor Environments Using Point Clouds', Journal of Computing in Civil Engineering, vol. 33, no. 1, 04018055, pp. 1-14.

Document type: Journal Article
Collection: Journal Articles

Title Shape Grammar Approach to 3D Modeling of Indoor Environments Using Point Clouds
Author(s) Tran, H
Kealy, A
Diaz-Vilarino, L
Year 2018
Journal name Journal of Computing in Civil Engineering
Volume number 33
Issue number 1
Article Number 04018055
Start page 1
End page 14
Total pages 14
Publisher American Society of Civil Engineers
Abstract As-is three-dimensional (3D) models of indoor environments are of paramount importance for a variety of applications such as navigation assistance and emergency response. Whereas manual reconstruction of 3D indoor models is a time-consuming task, methods for automatic or semiautomatic reconstruction can achieve a significant reduction of the time and labor required for indoor modeling. This paper proposes a new shape grammar approach for efficient generation of 3D models of indoor environments from point clouds. The shape grammar derives 3D models of complex environments by using a simple primitive and iterative application of grammar rules governed by a production procedure. The method can reconstruct both building elements and navigable spaces along with their topological relations. It produces 3D parametric models with high geometric accuracy and rich semantic content compliant with building information modeling (BIM) standards. Experiments on synthetic and real data sets show the ability of the method to generate highly accurate indoor models with computation times ranging from seconds to a few minutes. The usefulness of the output models in supporting indoor path planning at varying granularities is also demonstrated.
Subject Navigation and Position Fixing
Keyword(s) Building information modeling (BIM)
Indoor modeling
Indoor navigation
Point cloud
Shape grammar
DOI - identifier 10.1061/(ASCE)CP.1943-5487.0000800
Copyright notice © 2018 American Society of Civil Engineers.
ISSN 0887-3801
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Citation counts: TR Web of Science Citation Count  Cited 7 times in Thomson Reuters Web of Science Article | Citations
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