High performance DT-CNN camera device design on ACTEL IGLOO low power FPGA

S. Consul-Pacareu, J. Albo-Canals, X. Vilasís-Cardona, J. Riera-Baburés

Producció científica: Capítol de llibreContribució a congrés/conferènciaAvaluat per experts

6 Cites (Scopus)

Resum

In this paper we present a complete study on the balance between high performance image processing and low power consumption without using expensive components. Our proposal consists in implementing a Discrete Time Cellular Neural Network (DT-CNN) on a low power Actel IGLOO nano Field Programmable Gate Array (FPGA). This is a definitive step further from previous work to obtain an intelligent camera device for robots. Applications in Robot Guidance have rapidly increased in the last years as robots break in different fields of everyday live, which most of this robotic devices need sensors for navigation. Our proposed low cost solution avoids highly complex architectures, expensive smart sensors and low performance navigation systems.

Idioma originalAnglès
Títol de la publicació2011 20th European Conference on Circuit Theory and Design, ECCTD 2011
Pàgines37-40
Nombre de pàgines4
DOIs
Estat de la publicacióPublicada - 2011
Esdeveniment2011 20th European Conference on Circuit Theory and Design, ECCTD 2011 - Linkoping, Sweden
Durada: 29 d’ag. 201131 d’ag. 2011

Sèrie de publicacions

Nom2011 20th European Conference on Circuit Theory and Design, ECCTD 2011

Conferència

Conferència2011 20th European Conference on Circuit Theory and Design, ECCTD 2011
País/TerritoriSweden
CiutatLinkoping
Període29/08/1131/08/11

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