• DocumentCode
    3514753
  • Title

    Infrastructure-free shipdeck tracking for autonomous landing

  • Author

    Arora, Samarth ; Jain, Sonal ; Scherer, Stefan ; Nuske, Stephen ; Chamberlain, Lyle ; Singh, Sushil

  • Author_Institution
    Robot. Inst., Carnegie Mellon Univ., Pittsburgh, PA, USA
  • fYear
    2013
  • fDate
    6-10 May 2013
  • Firstpage
    323
  • Lastpage
    330
  • Abstract
    Shipdeck landing is one of the most challenging tasks for a rotorcraft. Current autonomous rotorcraft use shipdeck mounted transponders to measure the relative pose of the vehicle to the landing pad. This tracking system is not only expensive but renders an unequipped ship unlandable. We address the challenge of tracking a shipdeck without additional infrastructure on the deck. We present two methods based on video and lidar that are able to track the shipdeck starting at a considerable distance from the ship. This redundant sensor design enables us to have two independent tracking systems. We show the results of the tracking algorithms in three different environments - field testing results on actual helicopter flights, in simulation with a moving shipdeck for lidar based tracking and in laboratory using an occluded, and, moving scaled model of a landing deck for camera based tracking. The complimentary modalities allow shipdeck tracking under varying conditions.
  • Keywords
    aircraft landing guidance; autonomous aerial vehicles; helicopters; image sensors; mobile robots; object tracking; optical radar; robot vision; ships; actual helicopter flights; autonomous landing; autonomous rotorcraft; camera based tracking; field testing; infrastructure-free shipdeck tracking; lidar based tracking; redundant sensor design; relative pose measurement; shipdeck landing; shipdeck mounted transponders; Cameras; Global Positioning System; Helicopters; Laser radar; Marine vehicles; Radar tracking; Tracking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Automation (ICRA), 2013 IEEE International Conference on
  • Conference_Location
    Karlsruhe
  • ISSN
    1050-4729
  • Print_ISBN
    978-1-4673-5641-1
  • Type

    conf

  • DOI
    10.1109/ICRA.2013.6630595
  • Filename
    6630595