• DocumentCode
    3317409
  • Title

    Relative positioning technology

  • Author

    Beigl, Michael ; Lukowicz, Paul

  • Author_Institution
    Tech. Univ. Braunschweig, Passau
  • fYear
    2008
  • fDate
    Sept. 28 2008-Oct. 1 2008
  • Firstpage
    127
  • Lastpage
    127
  • Abstract
    In contrast to infrastructure supported location systems, relative positioning technology identifies the relative position of objects to each other solely based on local sensors and processing only. This tutorial provides background and hands-on experience over sensor technologies and modalities, measurement principles, systems, distributed algorithms and applications for relative positioning technologies. It will also give hands on insight to relative positioning using the RELATE relative positioning sensor network platform as an example. The tutorial will also discuss other practical issues as price, constraints for integration and use of relative positioning technology. The tutorial will be suitable also for people not familiar with positioning systems, algorithms and hardware.
  • Keywords
    image sensors; object recognition; hands-on experience; local sensors; object recognition; relative positioning technology; Hardware; Magnetic sensors; Measurement units; Position measurement; Sensor systems; Sensor systems and applications; Signal processing; Software measurement; Wearable computers; Wearable sensors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wearable Computers, 2008. ISWC 2008. 12th IEEE International Symposium on
  • Conference_Location
    Pittsburgh, PA
  • ISSN
    1550-4816
  • Print_ISBN
    978-1-4244-2637-9
  • Type

    conf

  • DOI
    10.1109/ISWC.2008.4911607
  • Filename
    4911607