• DocumentCode
    2408664
  • Title

    Opportunistic localization of underwater robots using drifters and boats

  • Author

    Arrichiello, Filippo ; Heidarsson, Hordur K. ; Sukhatme, Gaurav S.

  • Author_Institution
    Dept. DAEIMI, Univ. of Cassino & Lazio Meridionale, Cassino, Italy
  • fYear
    2012
  • fDate
    14-18 May 2012
  • Firstpage
    5307
  • Lastpage
    5314
  • Abstract
    The paper characterizes the localization performance of an Autonomous Underwater Vehicle (AUV) when it moves in environments where floating drifters or surface vessels are present and can be used for relative localization. In particular, we study how localization performance is affected by parameters e.g. AUV mobility, surface objects density, the available measurements (ranging and/or bearing) and their visibility range. We refer to known techniques for estimation performance evaluation and probabilistic mobility models, and we bring them together to provide a solid numerical analysis for the considered problem. We perform an extensive simulations in different scenarios, and, as a proof of concept, we show how an AUV, equipped with an upward looking sonar, can improve its localization estimate by detecting a surface vessel.
  • Keywords
    autonomous underwater vehicles; boats; mobile robots; probability; AUV mobility; autonomous underwater vehicle; boats; estimation performance evaluation; floating drifters; localization performance; numerical analysis; opportunistic localization; probabilistic mobility model; surface objects density; surface vessels; underwater robots; visibility range; Acoustics; Biological system modeling; Navigation; Noise; Robots; Sea measurements; Sensors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Automation (ICRA), 2012 IEEE International Conference on
  • Conference_Location
    Saint Paul, MN
  • ISSN
    1050-4729
  • Print_ISBN
    978-1-4673-1403-9
  • Electronic_ISBN
    1050-4729
  • Type

    conf

  • DOI
    10.1109/ICRA.2012.6224733
  • Filename
    6224733