DocumentCode :
141109
Title :
Towards Full Omnidirectional Depth Sensing Using Active Vision for Small Unmanned Aerial Vehicles
Author :
Harmat, A. ; Sharf, I.
Author_Institution :
Dept. of Mech. Eng., McGill Univ., Montreal, QC, Canada
fYear :
2014
fDate :
6-9 May 2014
Firstpage :
24
Lastpage :
31
Abstract :
Collision avoidance for small unmanned aerial vehicles operating in a variety of environments is limited by the types of available depth sensors. Currently, there are no sensors that are lightweight, function outdoors in sunlight, and cover enough of a field of view to be useful in complex environments, although many sensors excel in one or two of these areas. We present a new depth estimation method, based on concepts from multi-view stereo and structured light methods, that uses only lightweight miniature cameras and a small laser dot matrix projector to produce measurements in the range of 1-12 meters. The field of view of the system is limited only by the number and type of cameras/projectors used, and can be fully Omni directional if desired. The sensitivity of the system to design and calibration parameters is tested in simulation, and results from a functional prototype are presented.
Keywords :
SLAM (robots); autonomous aerial vehicles; collision avoidance; image sensors; robot vision; stereo image processing; active vision; calibration parameters; collision avoidance; depth estimation method; full omnidirectional depth sensing; laser dot matrix projector; lightweight miniature cameras; multiview stereo method; small unmanned aerial vehicles; structured light method; system sensitivity; visual SLAM; Calibration; Cameras; Estimation; Lasers; Noise; Robot sensing systems; active vision; depth sensing; omnidirectional; structured light; unmanned aerial vehicle;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer and Robot Vision (CRV), 2014 Canadian Conference on
Conference_Location :
Montreal, QC
Print_ISBN :
978-1-4799-4338-8
Type :
conf
DOI :
10.1109/CRV.2014.12
Filename :
6816820
Link To Document :
بازگشت