Paper
15 October 2012 A new bio-inspired decision chain for UAV sense-and-avoid applications
Author Affiliations +
Proceedings Volume 8454, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2012; 84541Z (2012) https://doi.org/10.1117/12.2000271
Event: Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2012, 2012, Wilga, Poland
Abstract
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 (15 October 2012); https://doi.org/10.1117/12.2000271
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Cited by 1 scholarly publication.
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KEYWORDS
Unmanned aerial vehicles

Video

Biomimetics

MATLAB

Video processing

Computer vision technology

Machine vision

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