Paper Info
Title
Free multi-floor indoor space extraction from complex 3D building models.
Abstract
Intelligent navigation and facility management in complex indoor environments are issues at the forefront of geospatial information science. Indoor spaces with fine geometric and semantic descriptions provide a solid foundation for various indoor applications, but it is difficult to comprehensively extract free multi-floor indoor spaces from complex three-dimensional building models, such as those described using CityGML LoD4, with existing methods for the subdivision or extraction of indoor spaces based on vector topology processing. Therefore, this paper elaborates a new voxelbased approach for extracting free multi-floor indoor spaces from 3D building models. It transforms the complicated vector processing tasks into a simple raster process that consists of three steps: voxelization with semantic enhancement, voxel classification, and boundary extraction. Experiments illustrate that the proposed method can automatically and correctly extract free multi-floor indoor spaces, especially two typical kinds of open indoor spaces, namely, lobbies and staircases.
Year
DOI
Venue
2017
10.1007/s12145-016-0279-x
Earth Science Informatics
Keywords
Field
DocType
Free multi-floor indoor space, CityGML LoD4, Indoor space extraction, Voxel
Geospatial analysis,Voxel,Data mining,Raster graphics,Computer science,Facility management,Semantic enhancement,Subdivision,CityGML,Vector processor
Journal
Volume
Issue
ISSN
10
1
1865-0481
Citations 
PageRank 
References 
2
0.42
21
Authors
7
Name
Order
Citations
PageRank
Qing Xiong1151.72
Qing Zhu214631.03
Zhiqiang Du3445.46
S. Zlatanova437750.93
Yeting Zhang5378.36
Y. Zhou616337.69
Yun Li744353.24