Skip to main content

Semantically enriched spatial modelling of industrial indoor environments enabling location-based services

  • Conference paper
  • First Online:

Zusammenfassung

This paper presents a concept for a software system called RAIL representing industrial indoor environments in a dynamic spatial model, aimed at easing development and provision of location-based services. RAIL integrates data from different sensor modalities and additional contextual information through a unified interface. Approaches to environmental modelling from other domains are reviewed and analyzed for their suitability regarding the requirements for our target domains; intralogistics and production. Subsequently a novel way of modelling data representing indoor space, and an architecture for the software system are proposed.

This is a preview of subscription content, log in via an institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   79.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   99.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Literatur

  1. Dhar, S., Varshney, U.: Challenges and business models for mobile location-based services and advertising Commun. ACM 54(5), 121 (2011). https://doi.org/10.1145/1941487.1941515

  2. Xu, Y., Chen, X., Ma, L.: LBS based disaster and emergency management. In: Liu, Y. (ed) 18th International Conference on Geoinformatics, 2010: 18 - 20 June 2010, Beijing, China. 2010 18th International Conference on Geoinformatics, Beijing, China, pp. 1–5. IEEE, Piscataway, NJ (2010). https://doi.org/10.1109/geoinformatics.2010.5567872

  3. Fritsch, L., Scherner, T.: A Multilaterally Secure, Privacy-Friendly Location-Based Service for Disaster Management and Civil Protection. In: Lorenz, P., Dini, P. (eds) Networking - ICN 2005: 4th International Conference on Networking, Reunion Island, France, April 17-21, 2005, Proceedings, Part II. Lecture Notes in Computer Science, vol. 3421, pp. 1130–1137. Springer-Verlag Berlin Heidelberg, Berlin, Heidelberg (2005)

    Google Scholar 

  4. Google Public Alerts, https://developers.google.com/public-alerts/, last accessed 2017/11/03.

  5. Barnes: Location-Based Services: The State of the Art e-Service Journal 2(3), 59 (2003). https://doi.org/10.2979/esj.2003.2.3.59

  6. Infsoft Whitepaper, https://www.infsoft.de/portals/0/images/solutions/basics/whitepaper/infsoft-whitepaper-de-indoor-positionsbestimmung_download.pdf, last accessed 2017/11/03.

  7. IndoorLBS, http://www.indoorlbs.com/, last accessed 2017/11/03.

  8. IndoorAtlas, http://www.indooratlas.com/, last accessed 2017/11/03.

  9. estimote, https://estimote.com/, last accessed 2017/11/03.

  10. Biczok, G., Diez Martinez, S., Jelle, T., Krogstie, J.: Navigating MazeMap: Indoor human mobility, spatio-logical ties and future potential. In: 2014 IEEE International Conference on Pervasive Computing and Communication Workshops (PERCOM WORKSHOPS), pp. 266–271 (2014). https://doi.org/10.1109/percomw.2014.6815215

  11. micello, https://www.micello.com/, last accessed 2017/11/03.

  12. Ubisense SmartFactory, https://ubisense.net/de/products/smart-factory, last accessed 2017/11/03.

  13. IntraNav, http://intranav.com/, last accessed 2017/11/03.

  14. Gunduz, M., Isikdag, U., Basaraner, M.: A REVIEW OF RECENT RESEARCH IN INDOOR MODELLING & MAPPING Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci. XLI-B4, 289–294 (2016). https://doi.org/10.5194/isprsarchives-xli-b4-289-2016

  15. Afyouni, I., Ray, C., Claramunt, C.: Spatial models for context-aware indoor navigation systems: A survey JOSIS(4) (2012). https://doi.org/10.5311/josis.2012.4.73

  16. Foote, T.: tf: The transform library. In: 2013 IEEE International Conference on Technologies for Practical Robot Applications (TePRA): 22 - 23 April 2013, Woburn, Massachusetts, USA. 2013 IEEE Conference on Technologies for Practical Robot Applications (TePRA), Woburn, MA, USA, pp. 1–6. IEEE, Piscataway, NJ (2013). https://doi.org/10.1109/tepra.2013.6556373

  17. Zlatanova, S., Sithole, G., Nakagawa, M., Zhu, Q.: Problems in indoor mapping and modelling Acquisition and Modelling of Indoor and Enclosed Environments 2013, Cape Town, South Africa, 11-13 December 2013, ISPRS Archives Volume XL-4/W4, 2013 (2013)

    Google Scholar 

  18. CityGML: Exchange and Storage of Virtual 3D City Models, http://www.citygml.de, last accessed 2017/11/03.

  19. GeoJSON, http://geojson.org/, last accessed 2017/11/03.

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Michael Brand .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer-Verlag GmbH Deutschland, ein Teil von Springer Nature

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Wendt, A., Brand, M., Schüppstuhl, T. (2018). Semantically enriched spatial modelling of industrial indoor environments enabling location-based services. In: Schüppstuhl, T., Tracht, K., Franke, J. (eds) Tagungsband des 3. Kongresses Montage Handhabung Industrieroboter. Springer Vieweg, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-56714-2_13

Download citation

  • DOI: https://doi.org/10.1007/978-3-662-56714-2_13

  • Published:

  • Publisher Name: Springer Vieweg, Berlin, Heidelberg

  • Print ISBN: 978-3-662-56713-5

  • Online ISBN: 978-3-662-56714-2

  • eBook Packages: Computer Science and Engineering (German Language)

Publish with us

Policies and ethics