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
Link To Document