• DocumentCode
    2603969
  • Title

    Water column current profile aided localisation for Autonomous Underwater Vehicles

  • Author

    Medagoda, Lashika ; Jakuba, Mike V. ; Pizarro, Oscar ; Williams, Stefan B.

  • Author_Institution
    Australian Centre for Field Robot., Univ. of Sydney, Sydney, NSW, Australia
  • fYear
    2010
  • fDate
    24-27 May 2010
  • Firstpage
    1
  • Lastpage
    10
  • Abstract
    Survey class Autonomous Underwater Vehicles (AUVs) rely on Doppler Velocity Logs (DVL) for precise navigation near the seafloor. In cases where the seafloor depth is greater than the DVL bottom lock range, transiting from the surface, where GPS is available, to the seafloor presents a localisation problem since both GPS and DVL are unavailable in the midwater column. This paper proposes an alternative approach to navigation in the mid-water column that exploits the fact that current profiles of water columns are stable over time. With reobservation of these currents with the ADCP (Acoustic Doppler Current Profiler) mode of the DVL during descent, along with sensor fusion of other low cost sensors, position error growth can be constrained to near the initial velocity uncertainty of the vehicle at the sea surface during the dive, and following DVL bottom lock, the entire velocity history is constrained to an error similar to the DVL velocity uncertainty. Simulation results show performance with sensor fusion of a low cost IMU and DVL bottom lock at the sea floor can achieve 20 cm per minute (2 σ) position error growth. Results with real data from an Autonomous Benthic Explorer (ABE) dive show that this method is applicable and a promising approach to navigation for untended deepwater autonomous vehicle operations.
  • Keywords
    Global Positioning System; mobile robots; navigation; remotely operated vehicles; sensor fusion; sonar; underwater vehicles; ADCP; DVL; DVL bottom lock range; Doppler velocity log; GPS; acoustic Doppler current profiler; autonomous benthic explorer dive; autonomous underwater vehicle; deepwater autonomous vehicle operation; precise navigation; sea surface; seafloor depth; sensor fusion; vehicle velocity uncertainty; water column current profile aided localisation; Accuracy; Current measurement; Global Positioning System; History; Mathematical model; 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.2010.5604016
  • Filename
    5604016