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