Towards Full Omnidirectional Depth Sensing Using Active Vision for Small Unmanned Aerial Vehicles

Computer and Robot Vision(2014)

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摘要
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.
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关键词
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,active vision,depth sensing,omnidirectional,structured light,unmanned aerial vehicle
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