Robot vision with cellular neural networks: a practical implementation of new algorithms
International Journal of Circuit Theory and Applications2006Vol. 35(4), pp. 449–462
Citations Over TimeTop 10% of 2006 papers
Abstract
Abstract Cellular neural networks (CNNs) are well suited for image processing due to the possibility of a parallel computation. In this paper, we present two algorithms for tracking and obstacle avoidance using CNNs. Furthermore, we show the implementation of an autonomous robot guided using only real‐time visual feedback; the image processing is performed entirely by a CNN system embedded in a digital signal processor (DSP). We successfully tested the two algorithms on this robot. Copyright © 2006 John Wiley & Sons, Ltd.
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