DocumentCode
270703
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
fYear
2014
fDate
29-31 July 2014
Firstpage
1
Lastpage
2
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);
fLanguage
English
Publisher
ieee
Conference_Titel
Cellular Nanoscale Networks and their Applications (CNNA), 2014 14th International Workshop on
Conference_Location
Notre Dame, IN
Type
conf
DOI
10.1109/CNNA.2014.6888613
Filename
6888613
Link To Document