LEARNING
Real time vision by FPGA implemented CNNs
J.C. Lopez-Garcia, Marco A. Moreno-Armendáriz, Jordi Riera-Babures, Marco Balsi, X. Vilasis-Cardona
- Year
- 2006
- Citations
- 7
Abstract
In order to get real time image processing for mobile robot vision, we propose to use a discrete time cellular neural network implementation by a convolutional structure on Altora FPGA using VHDL language. We obtain at least 9 times faster processing than other emulations for the same problem.
Keywords
Computer scienceVHDLField-programmable gate arrayConvolutional neural networkArtificial intelligenceMobile robotCellular neural networkComputer visionHardware description languageImage processing
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