• DocumentCode
    3020353
  • Title

    Observability analysis of relative localization for AUVs based on ranging and depth measurements

  • Author

    Antonelli, Gianluca ; Arrichiello, Filippo ; Chiaverini, Stefano ; Sukhatme, Gaurav S.

  • Author_Institution
    Dipt. di Autom., Elettromagnetismo, Ing. dell´´Inf. e Mat. Ind., Univ. degli Studi di Cassino, Cassino, Italy
  • fYear
    2010
  • fDate
    3-7 May 2010
  • Firstpage
    4276
  • Lastpage
    4281
  • Abstract
    The paper studies the observability properties of the relative localization of two Autonomous Underwater Vehicles (AUVs) equipped with depth sensors, linear/angular velocity sensors, and communication devices with range measurement. The conditions that ensure observability of the linearized model and locally weak observability of the nonlinear system are derived. An Extended Kalman Filter is then designed aimed at estimating the relative position between two AUVs. Simulations in 3D and reconstruction from experimental data in 2D provide a numerical validation of the analysis.
  • Keywords
    Kalman filters; mobile robots; path planning; position measurement; remotely operated vehicles; telerobotics; underwater vehicles; Autonomous Underwater Vehicles; Extended Kalman Filter; angular velocity sensor; depth sensors; linear velocity sensor; nonlinear system; observability analysis; position estimation; Global Positioning System; Observability; Position measurement; Robot sensing systems; Sea measurements; Sea surface; Transponders; Underwater communication; Underwater vehicles; Velocity measurement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Automation (ICRA), 2010 IEEE International Conference on
  • Conference_Location
    Anchorage, AK
  • ISSN
    1050-4729
  • Print_ISBN
    978-1-4244-5038-1
  • Electronic_ISBN
    1050-4729
  • Type

    conf

  • DOI
    10.1109/ROBOT.2010.5509573
  • Filename
    5509573