• DocumentCode
    1861231
  • Title

    Holographic navigation

  • Author

    Rikoski, Richard ; Brown, Daniel

  • Author_Institution
    Naval Surface Warfare Center, Panama City, FL
  • fYear
    2008
  • fDate
    19-23 May 2008
  • Firstpage
    73
  • Lastpage
    80
  • Abstract
    This paper presents a method for navigating relative to the sea floor using sonar imagery. The aspect dependent terrain recognition problem is addressed by generating acoustic holograms of the sea floor containing images of all aspects of interest. Grazing angle compensation is applied to reduce the required spatial sampling from planar to linear. Sonar images are coherently correlated with centimeter resolution to provide navigational updates. The technique is demonstrated using five short duration missions in St. Andrew Bay and three long duration missions, with a combined extent of 69.7 km, in the Gulf of Mexico.
  • Keywords
    acoustic holography; mobile robots; navigation; sonar target recognition; underwater vehicles; Gulf of Mexico; St. Andrew Bay; acoustic holograms; aspect dependent terrain recognition; distance 69.7 km; grazing angle compensation; holographic navigation; marine robotics; sea floors; sonar imagery; spatial sampling; Frequency; Holography; Image recognition; Object recognition; Robots; Sea floor; Sonar detection; Sonar measurements; Sonar navigation; Synthetic aperture sonar;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Automation, 2008. ICRA 2008. IEEE International Conference on
  • Conference_Location
    Pasadena, CA
  • ISSN
    1050-4729
  • Print_ISBN
    978-1-4244-1646-2
  • Electronic_ISBN
    1050-4729
  • Type

    conf

  • DOI
    10.1109/ROBOT.2008.4543189
  • Filename
    4543189