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Proceedings Paper

Recent results for obstacle detection by Cellular Neural Networks (CNN)
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Paper Abstract

In this contribution new results in the field of video processing regarding the problem of obstacle detection will be presented. Video sequences obtained from a camera mounted in a driving car are used as the input to a CNN and different templates are applied to extract multiple features from video sequences. Thereby, CNN with nonlinear weight functions have been considered allowing a reliable feature extraction. A detailed discussion of the algorithms and obtained results will be given in this paper.

Paper Details

Date Published: 29 June 2005
PDF: 5 pages
Proc. SPIE 5839, Bioengineered and Bioinspired Systems II, (29 June 2005); doi: 10.1117/12.608591
Show Author Affiliations
G. Geis, Johann Wolfgang von Goethe Univ. (Germany)
D. Feiden, Johann Wolfgang von Goethe Univ. (Germany)
R. Tetzlaff, Johann Wolfgang von Goethe Univ. (Germany)

Published in SPIE Proceedings Vol. 5839:
Bioengineered and Bioinspired Systems II
Ricardo A. Carmona; Gustavo Linan-Cembrano, Editor(s)

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