• DocumentCode
    2516858
  • Title

    Autonomous identification planning for mine countermeasures

  • Author

    Wiig, Martin Syre ; Krogstad, Thomas R. ; Midtgaard, Øivind

  • Author_Institution
    Norwegian Defence Res. Establ., Forsvarets Forskningsinstitutt FFI, Kjeller, Norway
  • fYear
    2012
  • fDate
    24-27 Sept. 2012
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    This paper presents a concept and algorithms to detect, classify and identify mine-like objects within a single mission with an autonomous underwater vehicle. The autonomous mine hunting concept has been developed for the HUGIN series of vehicles. First, the operation area is surveyed either with a synthetic aperture sonar or a side-scanning sonar. During the survey, mine-like objects are detected and classified in the data using algorithms for automatic target recognition. When the survey is complete, a framework for autonomy initiates a fusion of the targets and starts the automatic planning of a mission plan for target identification. The autonomous mine hunting concept is a part of the development of a framework for advanced autonomy on HUGIN, the HUGIN autonomy layer. Implementation of this framework will reduce the risk of long-term AUV missions, and will provide intelligent vehicle behavior not only to re-inspect interesting objects and areas, but also to preserve vehicle safety, navigational accuracy and mission goals.
  • Keywords
    autonomous underwater vehicles; identification; marine safety; mobile robots; object detection; oceanographic techniques; sonar detection; sonar target recognition; synthetic aperture sonar; telerobotics; AUV missions; HUGIN autonomy layer; HUGIN vehicle series; automatic target recognition; autonomous identification planning; autonomous mine hunting concept; autonomous underwater vehicle; intelligent vehicle behavior; mine countermeasures; mine-like objects classification; mine-like objects detection; mine-like objects identification; mission plan; navigational accuracy; side-scanning sonar; synthetic aperture sonar; target identification; vehicle safety; Cameras; Genetic algorithms; Planning; Sonar measurements; Synthetic aperture sonar; Vehicles; Autonomous underwater vehicles; automatic target recognition; mine counter measures; optical identification; path planning;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Autonomous Underwater Vehicles (AUV), 2012 IEEE/OES
  • Conference_Location
    Southampton
  • ISSN
    1522-3167
  • Print_ISBN
    978-1-4577-2055-0
  • Electronic_ISBN
    1522-3167
  • Type

    conf

  • DOI
    10.1109/AUV.2012.6380733
  • Filename
    6380733