The paper presents a new cellular neural network cellular neural network (CNN) for real-time stereo vision, useful as a passive optical range finder for autonomous robots and vehicles. The stereo matching as energy minimization is discussed, and former neural approaches to the problem are analyzed. Experimental results with the new CNN both with synthetic and real images are reported, demonstrating the performance of the system.

A CNN-based passive optical range finder for real-time robotic applications / Giaquinto, N; Savino, M; Taraglio, S. - In: IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT. - ISSN 0018-9456. - STAMPA. - 51:2(2002), pp. 314-319. [10.1109/19.997830]

A CNN-based passive optical range finder for real-time robotic applications

Giaquinto N;Savino M;
2002-01-01

Abstract

The paper presents a new cellular neural network cellular neural network (CNN) for real-time stereo vision, useful as a passive optical range finder for autonomous robots and vehicles. The stereo matching as energy minimization is discussed, and former neural approaches to the problem are analyzed. Experimental results with the new CNN both with synthetic and real images are reported, demonstrating the performance of the system.
2002
A CNN-based passive optical range finder for real-time robotic applications / Giaquinto, N; Savino, M; Taraglio, S. - In: IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT. - ISSN 0018-9456. - STAMPA. - 51:2(2002), pp. 314-319. [10.1109/19.997830]
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11589/4187
Citazioni
  • Scopus 10
  • ???jsp.display-item.citation.isi??? 9
social impact