• DocumentCode
    3017818
  • Title

    UAV altitude and attitude stabilisation using a coaxial stereo vision system

  • Author

    Moore, Richard J D ; Thurrowgood, Saul ; Bland, Daniel ; Soccol, Dean ; Srinivasan, Mandyam V.

  • Author_Institution
    Sch. of Inf. Technol. & Electr. Eng., Univ. of Queensland, St. Lucia, QLD, Australia
  • fYear
    2010
  • fDate
    3-7 May 2010
  • Firstpage
    29
  • Lastpage
    34
  • Abstract
    This study describes a novel, vision-based system for guidance of UAVs. The system uses two coaxially aligned cameras, each associated with a specially-shaped reflective surface, to obtain stereo information on the height above ground and the distances to potential obstacles. The camera-mirror system has the advantage that it remaps the world onto a cylindrical co-ordinate system that simplifies and speeds up range computations, and defines a collision-free cylinder through which the aircraft can pass without encountering obstacles. We describe an approach, using this vision system, in which the attitude and altitude of an aircraft can be controlled directly, making the system particularly suited to terrain following, obstacle avoidance, and landing. The autonomous guidance of an aircraft performing a terrain following task using the system is demonstrated in field tests.
  • Keywords
    aerospace robotics; aircraft; attitude control; remotely operated vehicles; robot vision; stability; stereo image processing; UAV altitude stabilisation; UAV attitude stabilisation; camera mirror system; coaxial stereo vision system; coaxially aligned cameras; cylindrical coordinate system; vision-based system; Aerospace control; Aircraft; Attitude control; Cameras; Coaxial components; Control systems; Machine vision; Performance evaluation; Stereo vision; Unmanned aerial vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Automation (ICRA), 2010 IEEE International Conference on
  • Conference_Location
    Anchorage, AK
  • ISSN
    1050-4729
  • Print_ISBN
    978-1-4244-5038-1
  • Electronic_ISBN
    1050-4729
  • Type

    conf

  • DOI
    10.1109/ROBOT.2010.5509465
  • Filename
    5509465