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A cellular neural network based optical range finder
Author(s) -
Zanela Andrea,
Taraglio Sergio
Publication year - 2002
Publication title -
international journal of circuit theory and applications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.364
H-Index - 52
eISSN - 1097-007X
pISSN - 0098-9886
DOI - 10.1002/cta.200
Subject(s) - obstacle , exploit , range (aeronautics) , computer science , artificial intelligence , computer vision , artificial neural network , engineering , aerospace engineering , computer security , political science , law
An optical range finder based on the CNN paradigm is presented. It exploits a variational formulation of the stereo‐vision problem. The device characteristics are assessed and some experiments are presented relative to two robotic tasks: the self‐localization of an autonomous vehicle and an obstacle detection system. Copyright © 2002 John Wiley & Sons, Ltd.
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