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.
© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
P. Fallavollita ; F. Cimini ; M. Balsi ; S. Esposito and S. Jankowski
A new bio-inspired decision chain for UAV sense-and-avoid applications
", Proc. SPIE 8454, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2012, 84541Z (October 15, 2012); doi:10.1117/12.2000271; http://dx.doi.org/10.1117/12.2000271