Title :
FPGA implementation of a foveal image processing system for UAV applications
Author :
Nagy, Zsolt ; ZaraÌndy, AÌkos ; Kiss, A. ; NeÌmeth, MaÌteÌ ; Zsedrovics, TamaÌs
Author_Institution :
Cellular Sensory & Opt. Wave Comput. Lab., Inst. for Comput. Sci. &Control, Budapest, Hungary
Abstract :
An on-board UAV high-performance collision avoidance system sets up drastic constraints, which can be fulfilled by using carefully optimized many-core computational architectures. In this demonstration we introduce a many-core processor system, which can process a 150 megapixels/sec video flow to identify remote airplanes. The introduced processor system is implemented on Xilinx Spartan-6 and Zynq SoC FPGAs, and consumes less than 1W.
Keywords :
autonomous aerial vehicles; collision avoidance; field programmable gate arrays; image processing; multiprocessing systems; object recognition; system-on-chip; FPGA implementation; UAV applications; Xilinx Spartan-6; Zynq SoC FPGAs; foveal image processing system; many-core processor system; onboard UAV high-performance collision avoidance system; optimized many-core computational architectures; remote airplane identification; unmanned aerial vehicle technology; Aircraft; Cameras; Field programmable gate arrays; Gray-scale; Image resolution; Ports (Computers);
Conference_Titel :
Cellular Nanoscale Networks and their Applications (CNNA), 2014 14th International Workshop on
Conference_Location :
Notre Dame, IN
DOI :
10.1109/CNNA.2014.6888613
