• DocumentCode
    2517153
  • Title

    AUV real-time acoustic vertical plane obstacle detection and avoidance

  • Author

    Karabchevsky, Serge ; Braginsky, Boris ; Guterman, Hugo

  • Author_Institution
    Dept. of Electro-Opt. Eng., Ben Gurion Univ. of the Negev, Beer-Sheva, Israel
  • fYear
    2012
  • fDate
    24-27 Sept. 2012
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Autonomous Underwater Vehicles (AUVs) operate in unknown underwater environments and take decisions based on sensor readings, without any link with a human operator. It is critical for the AUVs to be able to avoid submerged obstacles and to adapt to changes in the ocean floor terrain. A typical mission for an AUV is to inspect a given area using a side scan. It is crucial to maintain a straight line course during the inspection in order to ensure proper side scan sonar operation. This limits the obstacle avoidance to only the vertical plane. In this study, a real-time obstacle detection and avoidance algorithm that uses vertical plane oriented forward looking sonar is outlined. Experimental results that demonstrate the performance of the proposed method are presented.
  • Keywords
    acoustic signal detection; automatic optical inspection; autonomous underwater vehicles; collision avoidance; real-time systems; seafloor phenomena; sonar imaging; underwater acoustic propagation; AUV; autonomous underwater vehicles; inspection; ocean floor terrain; real-time acoustic vertical plane obstacle avoidance algorithm; real-time acoustic vertical plane obstacle detection algorithm; sensor readings; side scan sonar operation; straight line course; submerged obstacle avoidance; underwater environments; vertical plane oriented forward looking sonar; Entropy; Floors; Histograms; Noise; Oceans; Sonar; Speckle; AUV; Obstacle avoidance; Sonar;
  • 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.2012.6380750
  • Filename
    6380750