• DocumentCode
    2603455
  • Title

    Cooperative Autonomous Underwater Vehicle localization

  • Author

    Nogueira, Marcelo Borges ; Sousa, J.B. ; Pereira, Fernando Lobo

  • Author_Institution
    Underwater Syst. & Technol. Lab., Univ. do Porto, Porto, Portugal
  • fYear
    2010
  • fDate
    24-27 May 2010
  • Firstpage
    1
  • Lastpage
    9
  • Abstract
    Due to some communication constraints of the underwater environment, cooperative localization for AUVs is a hard task. In this paper, we present the state of the art in this area, analyse the existing solutions to related problems and propose 2 algorithms, based on the EKF, to solve the localization problem with a group of Autonomous Underwater Vehicles equipped with low cost navigation systems in an unknown environment. Without the aid of a global positioning system, the navigation error will grow unbounded. However, navigation performance can be greatly improved with our cooperative navigation scheme, as shown in simulations. We also show that the methods give better results when compared to an existing solution and perform a nonlinear observability analysis of the system to show the boundedness of the error with the aid of a global positioning system.
  • Keywords
    Global Positioning System; Kalman filters; navigation; remotely operated vehicles; underwater vehicles; communication constraint; cooperative autonomous underwater vehicle; global positioning system; low cost navigation system; nonlinear observability analysis; Covariance matrix; Equations; Mathematical model; Simultaneous localization and mapping; Uncertainty; Vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    OCEANS 2010 IEEE - Sydney
  • Conference_Location
    Sydney, NSW
  • Print_ISBN
    978-1-4244-5221-7
  • Electronic_ISBN
    978-1-4244-5222-4
  • Type

    conf

  • DOI
    10.1109/OCEANSSYD.2010.5603992
  • Filename
    5603992