• DocumentCode
    2986494
  • Title

    Vision-Based Real Time Guidance of UAV

  • Author

    El-Kalubi, Amr Awwad ; Zhou Rui ; Sun Haibo

  • Author_Institution
    Dept. of Autom. Control, Beijing Univ. of Aeronaut. & Astronaut., Beijing, China
  • fYear
    2011
  • fDate
    12-14 Aug. 2011
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    This paper presents vision-based estimator and a new guidance method for standoff tracking by unmanned aerial vehicle (UAV). Vision information obtained from a single camera, fixed to the vehicle as well as navigation and communications hardware, UAVs are capable of surveying, identifying and tracking ground, sea or aerial targets. The visual measurements of the target can be transformed into bearing measurements using the vehicle position and orientation, camera orientation with respect to the vehicle, and the pixel location of the target. Lyapunov vector field-based guidance law system is utilized to generate airspeed and heading rate control inputs which guide the UAV to circle about a designated ground target with a desired standoff radius. A vector field guidance law is designed for a stationary target with no wind and then modified with a correction term that accounts for a moving target and constant back-ground wind.
  • Keywords
    Lyapunov methods; aerospace robotics; mobile robots; remotely operated vehicles; robot vision; target tracking; Lyapunov vector field; UAV; airspeed generation; bearing measurement; camera orientation; guidance law system; heading rate control inputs; pixel location; standoff tracking; target tracking; unmanned aerial vehicle; vector field guidance law; vehicle orientation; vehicle position; vision-based estimator; vision-based real time guidance; visual measurement; Cameras; Estimation error; Information filters; Position measurement; Sensors; Target tracking; Vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Management and Service Science (MASS), 2011 International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-6579-8
  • Type

    conf

  • DOI
    10.1109/ICMSS.2011.5999382
  • Filename
    5999382