Skip to main content
SpringerLink
Log in

A Study on Navigation System for Pedestrians Based on Street Illuminations

  • Conference paper
Knowledge-Based and Intelligent Information and Engineering Systems (KES 2011)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 6883))

Abstract

The paper describes the our proposed pedestrian navigation system considering a street illumination sensing. The system provides pedestrians with an adequate route based on both of street illumination and distance to the destination. The system evaluates the cost of the route distance and the unsafe cost of the road illumination and finds the best route using Dijkstra graph search algorithm. In our system, wireless sensor network technology is applied to obtain the street illuminations.

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

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
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

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Google Maps Navigation, http://www.google.com/mobile/navigation/

  2. Beeharee, A.K., Steed, A.: A natural wayfinding exploiting photos in pedestrian navigation systems. In: Proceedings of the 8th Conference on Human-computer Interaction with Mobile Devices and Services, Helsinki, Finland, September 12-15 (2006)

    Google Scholar 

  3. Stark, A., Riebeck, M., Kawalek, J.: How to Design an Advanced Pedestrian Navigation System: Field Trial Results. In: IEEE International Workshop on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, Dortmund, Germany

    Google Scholar 

  4. Goodman, J., Brewster, S., Gray, P.: How can we best use landmarks to support older people in navigation? Behaviour and Information Technology 24(1), 3–20 (2005)

    Article  Google Scholar 

  5. Parkinson, B.W., Spilker, J.J.: Global Positioning System: Theory and Applications. American Institute of Aeronautics and Astronautics, Inc. (1996)

    Google Scholar 

  6. Kourogi, M., Sakata, N., Okuma, T., Kurata, T.: Indoor/Outdoor pedestrian navigation with an embedded GPS/RFID/Self-contained sensor system. In: Pan, Z., Cheok, D.A.D., Haller, M., Lau, R., Saito, H., Liang, R. (eds.) ICAT 2006. LNCS, vol. 4282, pp. 1310–1321. Springer, Heidelberg (2006)

    Chapter  Google Scholar 

  7. Miura, H., Hirano, K., Matsuda, N., Taki, H., Abe, N., Hori, S.: Indoor localization for mobile node based on RSSI. In: Apolloni, B., Howlett, R.J., Jain, L. (eds.) KES 2007, Part III. LNCS (LNAI), vol. 4694, pp. 1065–1072. Springer, Heidelberg (2007)

    Chapter  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Faculty of Systems Engineering, Wakayama University, 930, Sakaedani, Wakayama, 640-8510, Japan

    Hirokazu Miura, Syujo Takeshima, Noriyuki Matsuda & Hirokazu Taki

Authors
  1. Hirokazu Miura
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Syujo Takeshima
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Noriyuki Matsuda
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Hirokazu Taki
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Institute of Integrated Sensor Systems, University of Kaiserslautern, Erwin-Schroedinger-str. 12, 67663, Kaiserslautern, Germany

    Andreas König

  2. Knowledge-Based Systems Group, Department of Computer Science, University of Kaiserslautern, P.O. Box 3049, 67653, Kaiserslautern, Germany

    Andreas Dengel

  3. School of Business, University of Applied Sciences Northwestern Switzerland, Riggenbachstr. 16, 4600, Olten, Switzerland

    Knut Hinkelmann

  4. Graduate School of Engineering, Osaka Prefecture University, 1-1 Gakuen-cho, Sakai, 599-8531, Osaka, Japan

    Koichi Kise

  5. KES International, P.O. Box 2115, BN43 9AF, Shoreham-by-sea, UK

    Robert J. Howlett

  6. University of South Australia, Adelaide, 5095, Mawson Lakes, SA, Australia

    Lakhmi C. Jain

Rights and permissions

Reprints and permissions

Copyright information

© 2011 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Miura, H., Takeshima, S., Matsuda, N., Taki, H. (2011). A Study on Navigation System for Pedestrians Based on Street Illuminations. In: König, A., Dengel, A., Hinkelmann, K., Kise, K., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based and Intelligent Information and Engineering Systems. KES 2011. Lecture Notes in Computer Science(), vol 6883. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23854-3_6

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-23854-3_6

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-23853-6

  • Online ISBN: 978-3-642-23854-3

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation