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