"uuid","repository link","title","author","contributor","publication year","abstract","subject topic","language","publication type","publisher","isbn","issn","patent","patent status","bibliographic note","access restriction","embargo date","faculty","department","research group","programme","project","coordinates" "uuid:76878988-c401-4262-bc56-35282c95e298","http://resolver.tudelft.nl/uuid:76878988-c401-4262-bc56-35282c95e298","Free multi-floor indoor space extraction from complex 3D building models","Xiong, Qing (Wuhan University); Zhu, Qing (Southwest Jiaotong University; Wuhan University; Collaborative Innovation Center for Geospatial Technology); Du, Zhiqiang (Wuhan University; Collaborative Innovation Center for Geospatial Technology); Zlatanova, S. (TU Delft Urban Data Science); Zhang, Yeting (Wuhan University; Collaborative Innovation Center for Geospatial Technology); Zhou, Yan (University of Electric Science and Technology of China, Chengdu); Li, Yun (Southwest Jiaotong University)","","2016","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.","Free multi-floor indoor space; CityGML LoD4; Indoor space extraction; Voxel","en","journal article","","","","","","Accepted Author Manuscript","","2017-11-25","","","Urban Data Science","","",""