TY - GEN
T1 - An interactive approach for deriving geometric network models in 3D indoor environments
AU - Luo, Feixiong
AU - Cao, Guofeng
AU - Li, Xiang
N1 - Publisher Copyright:
Copyright 2014 ACM.
PY - 2014/11/4
Y1 - 2014/11/4
N2 - Humans spend most of their life in indoor spaces. As indoor spaces are becoming increasingly complex, there are compelling needs for efficient indoor GIS and navigation systems. For indoor navigations, numerous geometric network models have been proposed as navigable spatial models for 3D indoor environments in the past decade. Most of the existing discussions, however, tend to focus on conceptual representations of geometric networks; not enough attention has been given on the generation processes of navigable networks for 3D indoor environments. It is actually nontrivial, considering accurate and complete floor plans, the conventional data sources for building indoor geometric networks, are oftentimes not available for various reasons (e.g., copyright, public safety concerns). With the continue advances of 3D imaging and scanning technologies, 3D data models with fine geometric structures and high quality textures are increasingly available for indoor spaces, thus provide a novel data source for building indoor geometric networks. In this paper, an interactive approach is presented to derive 3D, navigable, geometric network models from these 3D data models. Specifically, this approach includes three steps: decomposing 3D building models in terms of floors, interactively creating geometric network elements (e.g., nodes and edges) and then automatically generating geometric network models. The presented approach is implemented and its advantages are demonstrated with a real world 3D building data.
AB - Humans spend most of their life in indoor spaces. As indoor spaces are becoming increasingly complex, there are compelling needs for efficient indoor GIS and navigation systems. For indoor navigations, numerous geometric network models have been proposed as navigable spatial models for 3D indoor environments in the past decade. Most of the existing discussions, however, tend to focus on conceptual representations of geometric networks; not enough attention has been given on the generation processes of navigable networks for 3D indoor environments. It is actually nontrivial, considering accurate and complete floor plans, the conventional data sources for building indoor geometric networks, are oftentimes not available for various reasons (e.g., copyright, public safety concerns). With the continue advances of 3D imaging and scanning technologies, 3D data models with fine geometric structures and high quality textures are increasingly available for indoor spaces, thus provide a novel data source for building indoor geometric networks. In this paper, an interactive approach is presented to derive 3D, navigable, geometric network models from these 3D data models. Specifically, this approach includes three steps: decomposing 3D building models in terms of floors, interactively creating geometric network elements (e.g., nodes and edges) and then automatically generating geometric network models. The presented approach is implemented and its advantages are demonstrated with a real world 3D building data.
KW - 3D GIS
KW - Geometric network model
KW - Indoor GIS
KW - Indoor navigation
UR - http://www.scopus.com/inward/record.url?scp=84939474237&partnerID=8YFLogxK
U2 - 10.1145/2676528.2676531
DO - 10.1145/2676528.2676531
M3 - Conference contribution
AN - SCOPUS:84939474237
T3 - GIS: Proceedings of the ACM International Symposium on Advances in Geographic Information Systems
SP - 9
EP - 16
BT - Proceedings of the 6th ACM SIGSPATIAL International Workshop on Indoor Spatial Awareness, ISA 2014
A2 - Claramunt, Christophe
A2 - Li, Ki-Joune
A2 - Zlatanova, Sisi
PB - Association for Computing Machinery
T2 - 6th ACM SIGSPATIAL International Workshop on Indoor Spatial Awareness, ISA 2014
Y2 - 4 November 2014
ER -