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
         
        
        
        
        
        
            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;
         
        
        
        
            Conference_Titel : 
Computer and Robot Vision (CRV), 2014 Canadian Conference on
         
        
            Conference_Location : 
Montreal, QC
         
        
            Print_ISBN : 
978-1-4799-4338-8
         
        
        
            DOI : 
10.1109/CRV.2014.12