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 SPIE.
A new bio-inspired decision chain for UAV sense-and-avoid applications / Fallavollita, Paolo; F., Cimini; Balsi, Marco; Esposito, Salvatore; S., Jankowski. - ELETTRONICO. - 8454:(2012). (Intervento presentato al convegno XXX-th IEEE-SPIE Joint Symposium Wilga 2012 tenutosi a Wilga; Poland) [10.1117/12.2000271].
A new bio-inspired decision chain for UAV sense-and-avoid applications
FALLAVOLLITA, PAOLO;BALSI, Marco;ESPOSITO, SALVATORE;
2012
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 SPIE.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
