Abstract
Navigation and tracking systems became a traditional tool of positioning determination and route guidance for moving objects such as vehicles and pedestrians. Position techniques like Global Positioning Systems (GPS) and map information about navigation space are fundamental elements in these systems. As matching a position into the map, a route plan is determined by navigational knowledge of space constraints. In this paper, we propose an extension model of Open Geospatial Consortium (OGC) IndoorGML for representing a seamless navigation space, called Seamless Navigation Model (SNM). In particular, we link the existing spatial models for seamless navigation between indoor and outdoor environments for not only humans but also robots instead of developing a unified model of indoor and outdoor spaces. This study presents how to realize the concept of Anchor node in IndoorGML and define characteristics to connect different geospatial models of indoor and outdoor spaces. Finally, we provide a use-case of SNM with a road network represented by OGC CityGML, which is a standard format for the storage and exchange of virtual three-dimensional city models. Our model can reduce the integration cost of different geospatial models and encourage the reuse of the current map information for various tasks not only seamless navigation.
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References
Alattas, A., Zlatanova, S., Van Oosterom, P., Chatzinikolaou, E., Lemmen, C., Li, K.J.: Supporting indoor navigation using access rights to spaces based on combined use of IndoorGML and LADM models. ISPRS Int. J. Geo-Inf. 6(12), 384 (2017)
Arfken, G.B., Weber, H.J.: Mathematical methods for physicists. AAPT (1999)
BuildingSMART: Industry Foundation Classes (IFC) Version 4.1, IFC4X1 (2017)
Chen, J., Clarke, K.C.: Modeling standards and file formats for indoor mapping. In: Procedings of the 3rd International Conference on Geographical Information Systems Theory, Applications and Management, pp. 268–275 (2017)
Iida, H., Hiroi, K., Kaji, K., Kawaguchi, N.: A proposal of IndoorGML extended data model for pedestrian-oriented voice navigation system. In: Proceedings of the Seventh ACM SIGSPATIAL International Workshop on Indoor Spatial Awareness, ISA 2015, pp. 2:1–2:6. ACM, New York (2015)
Jung, H.J., Lee, J.: Development of an omnidirectional-image-based data model through extending the IndoorGML concept to an indoor patrol service. J. Sens. 2017 (2017). https://www.hindawi.com/journals/js/2017/5379106/cta/
Kim, J.-S., Yoo, S.-J., Li, K.-J.: Integrating IndoorGML and CityGML for indoor space. In: Pfoser, D., Li, K.-J. (eds.) W2GIS 2013. LNCS, vol. 8470, pp. 184–196. Springer, Heidelberg (2014). https://doi.org/10.1007/978-3-642-55334-9_12
Kim, Y.J., Kang, H.Y., Lee, J.: Development of indoor spatial data model using CityGML ADE. ISPRS-Int. Arch. Photogram. Remote Sens. Spat. Inf. Sci. 1(2), 41–45 (2013)
Lee, J., Kang, H.Y., Kim, Y.J.: Developing data fusion method for indoor space modeling based on IndoorGML core module. J. Korea Spat. Inf. Soc. 22(2), 31–44 (2014)
Liu, L., Zlatanova, S., Zhu, Q., Li, K.: Towards the integration of IndoorGML and IndoorlocationGML for indoor applications. ISPRS Ann. Photogram. Remote Sens. Spat. Inf. Sci. 4, 343 (2017)
Open Geospatial Consortium: OGC City Geography Markup Language (CityGML) Encoding Standard, OGC 12-019 (2012)
Open Geospatial Consortium: OGC Indoor Geographic Markup Language (IndoorGML), OGC 14-005r5 (2018)
Park, J., Ahn, D., Lee, J.: Development of data fusion method based on topological relationships using IndoorGML core module. J. Sens. 2018 (2018). https://www.hindawi.com/journals/js/2018/4094235/cta/
Ryu, H.G., Kim, T., Li, K.J.: Indoor navigation map for visually impaired people. In: Proceedings of the Sixth ACM SIGSPATIAL International Workshop on Indoor Spatial Awareness, ISA 2014, pp. 32–35. ACM, New York (2014)
Teo, T.A., Cho, K.H.: BIM-oriented indoor network model for indoor and outdoor combined route planning. Adv. Eng. Inform. 30(3), 268–282 (2016)
Wang, Z., Niu, L.: A data model for using OpenStreetMap to integrate indoor and outdoor route planning. Sensors 18(7), 1–19 (2018)
Acknowledgment
This research was partially supported by the New Energy and Industrial Technology Development Organization (NEDO) and a grant (19NSIP-B135746-03) from National Spatial Information Research Program (NSIP) funded by Ministry of Land, Infrastructure and Transport of Korean government.
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Kim, T., Kim, KS., Lee, J. (2019). How to Extend IndoorGML for Seamless Navigation Between Indoor and Outdoor Space. In: Kawai, Y., Storandt, S., Sumiya, K. (eds) Web and Wireless Geographical Information Systems. W2GIS 2019. Lecture Notes in Computer Science(), vol 11474. Springer, Cham. https://doi.org/10.1007/978-3-030-17246-6_5
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DOI: https://doi.org/10.1007/978-3-030-17246-6_5
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