This work, after a preliminary feasibility study using a Matlab environment simulation, defines the design and the real
hardware testing of a new bio-inspired decision chain for UAV sense-and-avoid applications. Relying on a single and
cheap visible camera sensor, computer vision, bio-inspired and automatic decision algorithms have been adopted and
implemented on a specific ARM embedded platform through C++/OpenCV coding. A first data set processing, really
captured on flight, has been presented.
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