• DocumentCode
    287807
  • Title

    Reconstructing 2-D maps from multiple sonar scans

  • Author

    Bono, Riccardo ; Caccia, Massimo ; Veruggio, Gianmarco

  • Author_Institution
    Istituto Autom. Navale, CNR, Genova, Italy
  • Volume
    1
  • fYear
    1994
  • fDate
    13-16 Sep 1994
  • Abstract
    The Naval Automation Institute (IAN) of the Italian National Research Council has been carrying out some activities in the field of underwater robotics. The ultimate goal is the development of an autonomous underwater vehicle for research purposes. The paper presents the activity of the IAN in the field of the reconstruction of underwater scenes using sonar. The authors work with real data taken using a high-frequency pencil beam profiling sonar manually positioned in a laboratory tank. The goal is to build a model of the surroundings as a two dimensional map, which could be used by an autonomous vehicle to plan, on-line, the path to reach a target point. At first they describe the basic geometric elements used to model the environment and the synthetic information associated with them. The description of an algorithm to extract basic geometric elements from a single sonar scansion is followed by the presentation of a method to merge the processed data of many scansions to build a more complex 2-D map detecting false echoes
  • Keywords
    image reconstruction; image segmentation; marine systems; mobile robots; path planning; sonar imaging; 2D maps; autonomous underwater vehicle; basic geometric elements; false echoes; high-frequency pencil beam profiling sonar; multiple sonar scans; reconstruction; sonar scansion; underwater robotics; underwater scenes; Councils; Layout; Mobile robots; Remotely operated vehicles; Robotics and automation; Sea measurements; Solid modeling; Sonar detection; Sonar measurements; Underwater vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    OCEANS '94. 'Oceans Engineering for Today's Technology and Tomorrow's Preservation.' Proceedings
  • Conference_Location
    Brest
  • Print_ISBN
    0-7803-2056-5
  • Type

    conf

  • DOI
    10.1109/OCEANS.1994.363943
  • Filename
    363943