• DocumentCode
    3532941
  • Title

    A survey on Terrain Based Navigation for AUVs

  • Author

    Carreño, Sebastian ; Wilson, Philip ; Ridao, Pere ; Petillot, Yvan

  • Author_Institution
    Sch. of Eng. Sci., Univ. of Southampton, Southampton, UK
  • fYear
    2010
  • fDate
    20-23 Sept. 2010
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    Terrain Based Navigation (TBN) is a method rooted to the early cruise missile navigation systems, when GPS was not yet available. For decades, TBN has been applied as a complementary system to INS navigation for Unmanned Aerial Vehicles (UAV). In the field of Autonomous Underwater Vehicles (AUVs), it has the potential to bound the drift inherent to dead reckoning navigation, based on INS and/or Doppler Velocity Log (DVL) sensors, as well as to make the navigation beyond the areas of coverture of the acoustic transponder networks, a reality. This paper overviews the main concepts related to TBN and present an exhaustive survey of the works reported in the literature. As a main contribution, a table comparing the motion and the measurement models, as well as the probabilistic framework used for the estimation is reported. An effort has been put on unifying the diverse nomenclature used across the surveyed works. We aim this paper to become an starting point for the researchers interested in this technology, with pointers to the most interested works in the area.
  • Keywords
    inertial navigation; marine engineering; mobile robots; path planning; radionavigation; remotely operated vehicles; sensors; terrain mapping; underwater vehicles; AUV; Doppler velocity log sensor; INS navigation; autonomous underwater vehicle; inertial navigation system; terrain based navigation; Navigation; Robot sensing systems; Sea measurements; Sonar measurements;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    OCEANS 2010
  • Conference_Location
    Seattle, WA
  • Print_ISBN
    978-1-4244-4332-1
  • Type

    conf

  • DOI
    10.1109/OCEANS.2010.5664372
  • Filename
    5664372