Title :
A CNN stereo vision hardware system for autonomous robot navigation
Author :
Taraglio, Sergio ; Zanela, Andrea ; Salerno, Mario ; Sergeni, F. ; Bonaiuto, Vincenzo
Author_Institution :
ENEA, Rome, Italy
Abstract :
The high parallel analogue processing rate makes the cellular neural networks paradigm really useful in such a problems where real-time replies to external stimuli are required. The development of an effective system for autonomous robot navigation can find a valid support from this research. Moreover, the growth of new CNN algorithms can afford the necessary feedback to the hardware developers to improve their realisations. In this paper some measurements of a stereo-vision algorithm on a CNN hardware implementation (the 720DPCNN system) are given
Keywords :
cellular neural nets; mobile robots; path planning; robot vision; stereo image processing; 720DPCNN system; CNN stereo vision hardware system; autonomous robot navigation; stereo-vision algorithm; Cellular neural networks; Chromium; Hardware; Navigation; Neural networks; Parallel robots; Pixel; Robot sensing systems; Robot vision systems; Stereo vision;
Conference_Titel :
Cellular Neural Networks and Their Applications Proceedings, 1998 Fifth IEEE International Workshop on
Conference_Location :
London
Print_ISBN :
0-7803-4867-2
DOI :
10.1109/CNNA.1998.685360
