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
Link To Document :
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