Robot vision with cellular neural networks: a practical implementation of new algorithms
作者： Giovanni Egidio Pazienza , Xavier Ponce-García , Marco Balsi , Xavier Vilasís-Cardona
DOI: 10.1002/CTA.395
关键词: Digital signal processor 、 Robot 、 Image processing 、 Robot vision 、 Autonomous robot 、 Algorithm 、 Cellular neural network 、 Digital signal processing 、 Artificial intelligence 、 Computer science 、 Computer vision 、 Obstacle avoidance
摘要: 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 tracking and obstacle avoidance using CNNs. Furthermore, show implementation an autonomous robot guided only real-time visual feedback; is performed entirely by CNN system embedded in digital signal processor (DSP). We successfully tested on robot. Copyright © 2006 John Wiley & Sons, Ltd.
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