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Indoor Wayfinding Tools

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References

  • Arthur P, Passini R (1992) Wayfinding: people, signs, and architecture. McGraw-Hill Ryerson, Toronto

    Google Scholar 

  • Baus J, Krüger A, Wahlster W (2002) A resource-adaptive mobile navigation system. In: IUI ’02: proceedings of the 7th international conference on intelligent user interfaces. ACM, New York, pp 15–22

    Chapter  Google Scholar 

  • Cerovsek T (2011) A review and outlook for a ‘Building Information Model’ (BIM): a multi-standpoint framework for technological development. Adv Eng Inf 25(2):224–244

    Article  Google Scholar 

  • Cuayáhuitl H, Dethlefs N, Richter KF, Tenbrink T, Bateman J (2010) A dialogue system for indoor way-finding using text-based natural language. Int J Comput Linguist Appl 1(1-2):285–304

    Google Scholar 

  • de Laat R, van Berlo L (2011) Integration of BIM and GIS: the development of the CityGML GeoBIM extension. In: Kolbe TH, König G, Nagel C (eds) Advances in 3D geo-information sciences. Lecture notes in geoinformation and cartography. Springer, Berlin/Heidelberg, pp 211–225

    Chapter  Google Scholar 

  • Ghafourian M, Karimi HA (2009) Universal navigation: concept and algorithms. In: World congress on computer science and information engineering, IEEE computer society, Los Alamitos, vol 2, pp 369–373. doi: http://doi.ieeecomputersociety.org/10.1109/CSIE.2009.959

  • Gröger G, Kolbe TH, Nagel C, Häfele KH (2012) OGC city geography markup language (CityGML) encoding standard. OGC 12-019, Open Geospatial Consortium

    Google Scholar 

  • Hirtle SC, Sorrows ME (1998) Designing a multi-modal tool for locating buildings on a college campus. J Environ Psychol 18(3):265–276. doi: http://dx.doi.org/10.1006/jevp.1998.0096

  • Kim JS, Yoo SJ, Li KJ (2014) Integrating IndoorGML and CityGML for indoor space. In: Pfoser D, Li KJ (eds) Web and wireless geographical information systems. Lecture notes in computer science, vol 8470. Springer, Berlin, pp 184–196

    Chapter  Google Scholar 

  • Klippel A, Freksa C, Winter S (2006) You-are-here maps in emergencies – the danger of getting lost. J Spat Sci 51(1):117–131

    Article  Google Scholar 

  • Kolodziej KW, Hjelm J (2006) Local positioning systems – LBS applications and services. Taylor & Francis, Boca Raton

    Book  Google Scholar 

  • Kray C, Kortuem G, Krüger A (2005) Adaptive navigation support with public displays. In: IUI ’05: proceedings of the 10th international conference on intelligent user interfaces. ACM, New York, pp 326–328. doi: http://doi.acm.org/10.1145/1040830.1040916

  • Kray C, Fritze H, Fechner T, Schwering A, Li R, Anacta V (2013) Transitional spaces: between indoor and outdoor spaces. In: Tenbrink T, Stell J, Galton A, Wood Z (eds) Spatial information theory. Lecture notes in computer science, vol 8116. Springer, Berlin, pp 14–32

    Chapter  Google Scholar 

  • Krüger A, Baus J, Heckmann D, Kruppa M, Wasinger R (2007) Adaptive mobile guides. In: Brusilovsky P, Kobsa A, Nejdl W (eds) The adaptive Web. Lecture notes in computer science, vol 4321. Springer, Berlin, pp 521–549

    Chapter  Google Scholar 

  • Levine M (1982) You-are-here maps – psychological considerations. Environ Behav 14(2):221–237

    Article  Google Scholar 

  • Ohlbach HJ, Stoffel EP (2008) Versatile route descriptions for pedestrian guidance in buildings – conceptual model and systematic method. In: Proceedings of11th AGILE international conference on geographic information science, Gerona, University of Gerona

    Google Scholar 

  • Petrenko A, Sizo A, Qian W, Knowles AD, Tavassolian A, Stanley K, Bell S (2014) Exploring mobility indoors: an application of sensor-based and GIS systems. Trans GIS 18(3):351–369

    Article  Google Scholar 

  • Richter KF, Winter S, Santosa S (2011) Hierarchical representations of indoor spaces. Environ Plan B Plan Design 38(6):1052–1070. http://www.envplan.com/abstract.cgi?id=b37057

    Article  Google Scholar 

  • van de Ven J, Dylla F (2013) The spatial interaction laboratory – a distributed middleware and qualitative representation for ambient intelligence. In: Space, time, and ambient intelligence: proceedings from the AAAI workshop, Bellevue

    Google Scholar 

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Author information

Authors and Affiliations

  1. Department of Geography, University of Zurich – Irchel, Zurich, Switzerland

    Kai-Florian Richter

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  1. Kai-Florian Richter
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Correspondence to Kai-Florian Richter .

Editor information

Editors and Affiliations

  1. Minneapolis, Minnesota, USA

    Shashi Shekhar

  2. Rutgers Business School, Newark, New Jersey, USA

    Hui Xiong

  3. The University of Iowa Tippie College of Business, Iowa City, Iowa, USA

    Xun Zhou

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© 2015 Springer International Publishing Switzerland

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Richter, KF. (2015). Indoor Wayfinding Tools. In: Shekhar, S., Xiong, H., Zhou, X. (eds) Encyclopedia of GIS. Springer, Cham. https://doi.org/10.1007/978-3-319-23519-6_1622-1

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  • DOI: https://doi.org/10.1007/978-3-319-23519-6_1622-1

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  • Publisher Name: Springer, Cham

  • Online ISBN: 978-3-319-23519-6

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