• DocumentCode
    2346997
  • Title

    Automatic object detection and diagnosis for AUV operation using underwater imaging sonar

  • Author

    Zhao, Shi ; Anvar, Amir ; Lu, Tien-Fu

  • Author_Institution
    Sch. of Mech. Eng., Univ. of Adelaide, Adelaide, SA
  • fYear
    2008
  • fDate
    3-5 June 2008
  • Firstpage
    1906
  • Lastpage
    1911
  • Abstract
    This paper presents the development of underwater sonar imaging to support the command, control and navigation of an AUV within a shallow milky-water environment. The aim of this study was to test an innovative methodology which uses underwater imaging sonar to detect underwater objects surrounding the AUV and determine their locations and movement including motion directions and speeds relative to the AUV. Several underwater laboratory based trials have been conducted. The successful result shows the presented methodology is promising.
  • Keywords
    object detection; sonar imaging; underwater vehicles; AUV operation; automatic object detection; shallow milky-water environment; underwater imaging sonar; Object detection; Oceans; Pollution measurement; Remotely operated vehicles; Sea measurements; Simultaneous localization and mapping; Sonar detection; Sonar navigation; Space exploration; Underwater vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Electronics and Applications, 2008. ICIEA 2008. 3rd IEEE Conference on
  • Conference_Location
    Singapore
  • Print_ISBN
    978-1-4244-1717-9
  • Electronic_ISBN
    978-1-4244-1718-6
  • Type

    conf

  • DOI
    10.1109/ICIEA.2008.4582851
  • Filename
    4582851