The purpose of this project is to support different types of locomotion for indoor navigation through determining safe navigable subspaces for each type of locomotion namely flying, walking, and driving using semantically enriched 3D building models. The subspaces are computed using geometrical-based method i.e., configuration space. The whole subspacing procedure is carried out in Multilayered Space-Event Model (MLSEM). MLSEM is a framework which is based on sound mathematical rules and provides application schema i.e., IndoorGML.
Indoor navigation is more complex as against the outdoor navigation. Because, indoor navigation has to deal with more dimensions (multiple floors of building), needs more level of detail to understand enclosing area around navigating subject or object, and has to consider the context of navigation for accurate subspacing results. Keeping in view the complexity of indoor navigation we have to find solutions for applications (e.g., route planning) of indoor navigation that must take into consideration of the context of navigation and be more level of detail to have accurate and consistent results for users.
In this research project, we consider different types of locomotion i.e., flying, walking, and driving with their unique navigating constraints. We address the problems with currently available methods to support different types of locomotion in indoor navigation and determine subspaces with precise results for each locomotion type using geometric based methods i.e., configuration space. The procedure of subspacing is carried out in Multilayered Space-Event Model (MLSEM) and uses semantically enriched 3D building model (e.g., CityGML and IFC) as static 3D indoor environment. The initial results of this project has shown that our procedure of subspacing determines accurate unique subspace for each locomotion type. This project will be helpful to support for the navigation of different types of locomotion in indoor environment and also will contribute towards standardization of indoor navigation.
Khan, Aftab A.; Yao, Zhihang; Kolbe, Thomas H.: Context aware indoor route planning using semantic 3D building models with cloud computing. In: Breunig, M.; Al-Doori, M.; Butwilowski, E.; Kuper, P. V.; Benner, J.; Häfele, K.-H. (Hrsg.): 3D Geoinformation Science. Springer, 2015 mehr…BibTeX
Mouratidis, George: Context dependent multimodal routing in indoor/outdoor environments based on IndoorGML and OpenStreetMap. Masterarbeit, 2015 mehr…BibTeX
Khan, Aftab, A.; Donaubauer, Andreas; Kolbe, Thomas H.: A multi-step transformation process for automatically generating indoor routing graphs from semantic 3D building models. Proceedings of the 9th 3D GeoInfo Conference 2014, Karlsruhe Institute of Technology (KIT), 2014 mehr…BibTeX
Lee, Jiyeong; Li, Ki-Joune; Zlatanova, Sisi; Kolbe, Thomas H.; Nagel, Claus; Becker, Thomas: Lee, Jiyeong; Li, Ki-Joune; Zlatanova, Sisi; Kolbe, Thomas H.; Nagel, Claus; Becker, Thomas (Hrsg.): OGC Indoor Geography Markup Language (IndoorGML) Implementation Standard – OGC International Standard, Doc. No. 14-005-r3. Open Geospatial Consortium (Version 1.0.0. Aufl.), 2014 mehr…BibTeX
Brown, Gavin; Nagel, Claus; Zlatanova, Sisi; Kolbe, Thomas H.: Modelling 3D Topographic Space Against Indoor Navigation Requirements. In: Pouliot, Jacynthe; Daniel, Sylvie; Hubert, Frédéric; Zamyadi, Alborz (Hrsg.): Progress and New Trends in 3D Geoinformation Sciences. Springer, 2013, 1-22 mehr…BibTeX
Khan, Aftab, A.; Kolbe, Thomas, H.;: Subspacing based on Connected Opening Spaces and for Different Locomotion Types Using Geometric and Graph based Representation in Multilayered Space-Event Model (MLSEM). Proceedings of the 8th 3D GeoInfo Conference, 2013 mehr…BibTeX
Khan, Aftab A.; Kolbe, Thomas H.: Constraints and their role in subspacing for the locomotion types in indoor navigation. Indoor Positioning and Indoor Navigation (IPIN), 2012 2012 International Conference in Sydney, Australiamehr…BibTeX