• DocumentCode
    3483442
  • Title

    Shoreline Mapping using an Omni-directional Camera for Autonomous Surface Vehicle Applications

  • Author

    Subramanian, Anbumani ; Gong, Xiaojin ; Riggins, Jamie N. ; Stilwell, Daniel J. ; Wyatt, Christopher L.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Virginia Tech., Blacksburg, VA
  • fYear
    2006
  • fDate
    18-21 Sept. 2006
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Autonomous surface vehicles (ASVs) have the potential to operate for extended periods of time in coastal, estuarine, and riverine environments for a variety of scientific, environmental, and military applications. However, these environments are often highly dynamic and unstructured, and present new challenges for autonomous operations. Toward the goal of achieving truly autonomous long-term operations in highly unstructured maritime environments, we present a new approach to create a shoreline map with an ASV in real-time by combining the analysis of images from a single omni-directional camera and knowledge of the vehicle´s location and motion information
  • Keywords
    image processing; oceanographic techniques; remotely operated vehicles; ASV; autonomous surface vehicle applications; coastal environment; environmental application; estuarine environment; image analysis; military application; omni-directional camera; riverine environment; scientific application; shoreline mapping; Cameras; Image analysis; Image motion analysis; Information analysis; Marine vehicles; Mobile robots; Motion analysis; Remotely operated vehicles; Sea measurements; Vehicle dynamics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    OCEANS 2006
  • Conference_Location
    Boston, MA
  • Print_ISBN
    1-4244-0114-3
  • Electronic_ISBN
    1-4244-0115-1
  • Type

    conf

  • DOI
    10.1109/OCEANS.2006.306906
  • Filename
    4099061