Skip to main content
SpringerLink
Log in
Book cover

Universal Navigation on Smartphones pp 75–88Cite as

Universal Navigation

  • Chapter
  • First Online:

Abstract

To overcome the shortcomings of current navigation systems and services (for both outdoors and indoors), Universal NAVIgation Technology (UNAVIT) is proposed. UNAVIT refers to a new and emerging navigation service that is expected to be available on smartphones. Features of UNAVIT are navigation anywhere, which means the capability to provide navigation assistance regardless of the environment (outdoors or indoors); at any time, which means the capability to provide appropriate navigation assistance based on the time when it is needed; for any user, which means the capability to provide navigation assistance to users with different needs and preferences. UNAVIT is also able to function for any mode of travel, which means the potential to offer navigation assistance appropriate for each possible mode of travel; to provide navigation assistance automatically with the least intervention by the user; and to be adaptable, which means offering specific navigation assistance based on changes in user behavior. Given that UNAVIT will be service-oriented, various possible architectures (each with its own pros and cons) are possible. UNAVIT will be one of the pervasive applications on smartphones, such as Android and iPhone, and through Web Mapping Services such as Google Maps, Bing Maps, Yahoo Maps, and Mapquest.

This is a preview of subscription content, 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 EPUB and 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
Hardcover Book
USD   54.99
Price excludes VAT (USA)
  • Durable hardcover 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

Further Readings

  • Akasaka Y, Onisawa T (2008) Personalized Pedestrian Navigation System with Subjective Preference Based Route Selection. In: Intelligent Decision and Policy Making Support Systems(Ruan, D., ed), pp 73–91.

    Google Scholar 

  • Bansal M, Jung SH, Matei B, Eledath J, Sawhney H (2010) Combining structure and appearance cues for real-time pedestrian detection. In: Proceeding on the International Society for Optical Engineering (SPIE), vol. 7692 Orlando, Florida, USA.

    Google Scholar 

  • Bessho M, Kobayashi S, Koshizuka N, Sakamura K (2008) uNavi: Implementation and deployment of a place-based pedestrian navigation system. In: Proceedings of International Computer Software and Applications, pp 1254–1259.

    Google Scholar 

  • Cho SY, Park CG (2006) MEMS based pedestrian navigation system. Journal of Navigation 59:135–153.

    Article  Google Scholar 

  • Feliz R, Zalama E, García-Bermejo JG (2009) Pedestrian tracking using inertial sensors. Journal of Physical Agents 3:35–42.

    Google Scholar 

  • Flora Cd, Ficco M, Russo S, Vecchio V (2005) Indoor and Outdoor Location Based Services for Portable Wireless Devices. In: the 25th IEEE International Conference on Distributed Computing Systems Workshops (ICDCSW’05), pp 244–250 Columbus, OH, USA: IEEE.

    Google Scholar 

  • Ghafourian M, Karimi H (2009) Universal Navigation: Concept and Algorithms. In: World Congress on Computer Science and Information Engineering (CSIE 2009), Anaheim, Los Angeles, March 31-April 2 2009. IEEE, pp 369–373.

    Book  Google Scholar 

  • Hile H, Vedantham R, Cuellar G, Liu A, Gelfand N, Grzeszczuk R, Borriello G (2008) Landmark-based pedestrian navigation from collections of geotagged photos. In: Proceedings of the 7th International Conference on Mobile and Ubiquitous Multimedia (MUM’08), pp 145–152.

    Google Scholar 

  • Holone H (2007) Users are doing it for themselves: Pedestrian navigation with user generated content. In: Proceeding of the 2007 International Conference on Next Generation Mobile Applications, Services and Technologies (NGMAST 2007), pp 91–99.

    Google Scholar 

  • Karimi H, A, Ghafourian, M. (2009) Universal Navigation. In: GIM International, pp 17–19.

    Google Scholar 

  • Kourogi M, Sakata N, Okuma T, Kurata T (2006) Indoor/Outdoor Pedestrian Navigation with an Embedded GPS/RFID/Self-contained Sensor System. In: International Conference on Artificial Reality and Telexistence No16, vol. 4282, pp 1310–1321 Hangzhou, CHINE.

    Article  Google Scholar 

  • Lee HH, Park IK, Hong KS (2008) Design and implementation of a mobile devices-based real-time location tracking. In: The Second International Conference on Mobile Ubiquitous Computing, Systems, Services and Technologies (UBICOMM ’08), pp 178–183 Valencia.

    Google Scholar 

  • Li C (2006) User preferences, information transactions and location-based services: A study of urban pedestrian wayfinding. Computers, Environment and Urban Systems 30:726–740.

    Article  Google Scholar 

  • Mahler T, Reuff M, Weber M (2007) Pedestrian navigation system implications on visualization. In: Proceedings of the 4th international conference on Universal access in human-computer interaction: ambient interaction Beijing, China.

    Google Scholar 

  • May AJ, Ross T, Bayer SH, Tarkiainen MJ (2003) Pedestrian navigation aids: information requirements and design implications. Personal and Ubiquitous Computing 7.

    Google Scholar 

  • Park SK, Suh YS (2009) Gait state classification by hmms for pedestrian inertial navigation system. Transactions of the Korean Institute of Electrical Engineers 58:1010–1018.

    Google Scholar 

  • Petrovski I, Okano K, Ishii M, Torimoto H, Konishi Y, Shibasaki R (2003) Pedestrian ITS in Japan: Pseudolites and GPS. GPS World 14:33–37.

    Google Scholar 

  • Rehrl K, Göll N, Leitinger S, Bruntsch S ( 2005) Combined indoor/outdoor Smartphone navigation for public transport travelers. In: 3rd Symp LBS & TeleCartography(Gartner, G., ed), pp 235–239 Vienna, Austria.

    Google Scholar 

  • Retscher G (2007) Test and integration of location sensors for a multi-sensor personal navigator. Journal of Navigation 60:107–117.

    Article  Google Scholar 

  • Retscher G, Kealy A (2006) Ubiquitous positioning technologies for modern intelligent navigation systems. Journal of Navigation 59:91–103.

    Article  Google Scholar 

  • Retscher G, Thienelt M (2004) NAVIO- A Navigation and Guidance Service for Pedestrians. Journal of Global Positioning Systems 3:208–217.

    Article  Google Scholar 

  • Santos AC, Tarrataca L, Cardoso JMP (2010) The Feasibility of Navigation Algorithms on Smartphones using J2ME. Mobile Networks and Applications 1–12.

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Geoinformatics Laboratory, University of Pittsburgh School of Information Sciences, 135 N. Bellefield Ave., 15260, Pittsburgh, Pennsylvania, USA

    Hassan A. Karimi

Authors
  1. Hassan A. Karimi
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Hassan A. Karimi .

Rights and permissions

Reprints and permissions

Copyright information

© 2011 Springer Science+Business Media, LLC

About this chapter

Cite this chapter

Karimi, H.A. (2011). Universal Navigation. In: Universal Navigation on Smartphones. Springer, Boston, MA. https://doi.org/10.1007/978-1-4419-7741-0_4

Download citation

  • DOI: https://doi.org/10.1007/978-1-4419-7741-0_4

  • Published:

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4419-7740-3

  • Online ISBN: 978-1-4419-7741-0

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation