• DocumentCode
    622350
  • Title

    Toward visual autonomous ship board landing of a VTOL UAV

  • Author

    Sanchez-Lopez, Jose Luis ; Saripalli, Srikanth ; Campoy, Pascual ; Pestana, Jesus ; Changhong Fu

  • Author_Institution
    Comput. Vision Group, Univ. Politec. de Madrid, Madrid, Spain
  • fYear
    2013
  • fDate
    28-31 May 2013
  • Firstpage
    779
  • Lastpage
    788
  • Abstract
    In this paper we tackle the problem of landing a helicopter autonomously on a ship deck, using as the main sensor, an on-board colour camera. To create a test-bed, we first adequately simulate the movement of a ship landing platform on the Sea, for different Sea States, for different ships, randomly and realistically enough. We use a commercial parallel robot to get this movement. Once we had this, we developed an accurate and robust computer vision system to measure the pose of the helipad with respect to the on-board camera. To deal with the noise and the possible fails of the computer vision, a state estimator was created. With all of this, we are now able to develop and test a controller that closes the loop and finish the autonomous landing task.
  • Keywords
    autonomous aerial vehicles; closed loop systems; image sensors; robot vision; ships; state estimation; VTOL UAV; autonomous landing task; commercial parallel robot; computer vision system; helicopter; on-board colour camera; sea states; ship deck; ship landing platform; state estimator; test-bed; visual autonomous ship board landing; Cameras; Computational modeling; Computer vision; Helicopters; Image color analysis; Marine vehicles; Sea state;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Unmanned Aircraft Systems (ICUAS), 2013 International Conference on
  • Conference_Location
    Atlanta, GA
  • Print_ISBN
    978-1-4799-0815-8
  • Type

    conf

  • DOI
    10.1109/ICUAS.2013.6564760
  • Filename
    6564760