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 Altera FPGA using VHDL language. We obtain at least 9 times faster processing than other emulations for the same problem.
Real time vision by FPGA implemented CNNs / LOPEZ GARCIA J., C; MORENO ARMENDARIZ M., A; RIERA BABURES, J; Balsi, Marco; VILASIS CARDONA, X.. - 1:(2005), pp. 281-284. (Intervento presentato al convegno European Conference on Circuit Theory and Design (ECCTD’05) tenutosi a Cork; Ireland nel 29/8-2/9/2005) [10.1109/ECCTD.2005.1522965].
Real time vision by FPGA implemented CNNs
BALSI, Marco;
2005
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 Altera FPGA using VHDL language. We obtain at least 9 times faster processing than other emulations for the same problem.File allegati a questo prodotto
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