• DocumentCode
    622325
  • Title

    Framework for autonomous onboard navigation with the AR.Drone

  • Author

    Jimenez Lugo, Jacobo ; Zell, Andreas

  • Author_Institution
    Cognitive Syst., Univ. of Tubingen, Tubingen, Germany
  • fYear
    2013
  • fDate
    28-31 May 2013
  • Firstpage
    575
  • Lastpage
    583
  • Abstract
    We present a framework for autonomous flying using the AR.Drone low cost quadrotor. The system performs all sensing and computations on-board, making the system independent of any base station or remote control. High level navigation and control tasks are carried out in a microcontroller that steers the vehicle to a desired location. We experimentally demonstrate the properties and capabilities of the system autonomously following several trajectory patterns of different complexity levels and evaluate the performance of our system.
  • Keywords
    aerospace robotics; microcontrollers; mobile robots; navigation; performance evaluation; telerobotics; trajectory control; AR.Drone low cost quadrotor; AR.drone; autonomous flying; autonomous onboard navigation; base station; control tasks; different complexity levels; high level navigation; microcontroller; performance evaluation; remote control; trajectory patterns; Base stations; Cameras; Microcontrollers; Navigation; Sensors; Trajectory; Vehicles;
  • 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.2013.6564735
  • Filename
    6564735