Cellular Neural Networks for Mobile Robot Vision

Balsi, Marco; Apicella, Giada; Luengo, S.; Solsona, Jordi; Vilasís-Cardona, X.

doi:10.1007/3-540-45723-2_58

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“…The strategy for our programme is to start using simple problems to evolve into more difficult situations. The first result proved that CNNs could perform image processing for driving a robot in a maze made of black lines on a light background [9,10]. Following a step-by-step approach, we now face more involved problems like tracking and obstacle avoidance.…”

Section: Introductionmentioning

confidence: 99%

Robot vision with cellular neural networks: a practical implementation of new algorithms

Pazienza

Ponce-García

Balsi

et al. 2006

Circuit Theory & Apps

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SUMMARYCellular 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.

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Section: Introductionmentioning

confidence: 99%