• DocumentCode
    1647411
  • Title

    Terrain based localization for pinpoint observation of deep seafloors

  • Author

    Nakatani, Takeshi ; Ura, Tamaki ; Sakamaki, Takashi ; Kojima, Junichi

  • Author_Institution
    Inst. of Ind. Sci., Univ. of Tokyo, Tokyo, Japan
  • fYear
    2009
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Real-time accurate localization is essential for in many underwater vehicle applications. In particular, close-range seafloor observation requires precise positioning in relation to bottom structures or to coordinates on a map. This paper proposes a real-time terrain based localization method that realizes robust positioning that does not require any artificial landmarks. The method stochastically determines vehicle´s position relative to the map using the Particle Filter method, based on an inertial navigation system (INS) and a profiling sonar mounted on the vehicle. The reference bathymetric map is constructed a prior, either by the vehicle itself, or by other platforms. The proposed method is implemented on the hovering type AUV TUNA-SAND and sea trials were carried out. We succeeded in the real-time localization and verified the performance of the proposed method.
  • Keywords
    bathymetry; inertial navigation; oceanographic techniques; particle filtering (numerical methods); remote sensing; remotely operated vehicles; seafloor phenomena; sonar; underwater vehicles; AUV TUNA-SAND; INS; autonomous underwater vehicles; bathymetric map; deep seafloor observation; inertial navigation system; ocean bottom structure; particle filter method; pinpoint observation; profiling sonar; real-time terrain based method; robust positioning; seafloor observation; Global Positioning System; Oceanographic techniques; Particle filters; Robustness; Sea floor; Sea measurements; Sonar navigation; Stochastic processes; Surfaces; Underwater vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    OCEANS 2009 - EUROPE
  • Conference_Location
    Bremen
  • Print_ISBN
    978-1-4244-2522-8
  • Electronic_ISBN
    978-1-4244-2523-5
  • Type

    conf

  • DOI
    10.1109/OCEANSE.2009.5278194
  • Filename
    5278194