• DocumentCode
    2945663
  • Title

    Vision-based wave sensing for high speed vessels

  • Author

    Grob, Jennifer ; Waters, Jennifer ; Piepmeier, Jenelle Armstrong

  • Author_Institution
    Naval Archit. & Ocean Eng., US Naval Acad., Annapolis, MD, USA
  • fYear
    2004
  • fDate
    2004
  • Firstpage
    290
  • Lastpage
    293
  • Abstract
    Vision-based water wave sensing is a technique that can be used to create a pro-active ride control system for high-speed marine vessels. This project researches creating a vision-based wave sensing approach that will be able to determine pertinent wave characteristics, such as slope, height, and frequency. The main initial goal of this project is to develop a system that can acquire an image of a wave surface and accurately measure its characteristics. System equipment includes a stereo vision system from Pt. Grey Research. The stereo vision system is capable of producing point cloud images. MATLAB will be used to analyze the recorded data and compute critical information, such as local maximums and minimums, for examining wave characteristics. The goal of this project is to eventually study and characterize regular and irregular waves with the vision-based system. The tests of regular and irregular waves determines the ultimate precision and accuracy of the camera, which allows and further the goal of a vision-based proactive system for a high-speed vessel.
  • Keywords
    ships; stereo image processing; water waves; high speed vessels; marine vessels; point cloud images; ride control system; ship control; stereo vision system; vision-based water wave sensing; Cameras; Clouds; Control systems; Data analysis; Frequency; Information analysis; MATLAB; Stereo vision; Surface waves; System testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    System Theory, 2004. Proceedings of the Thirty-Sixth Southeastern Symposium on
  • ISSN
    0094-2898
  • Print_ISBN
    0-7803-8281-1
  • Type

    conf

  • DOI
    10.1109/SSST.2004.1295666
  • Filename
    1295666