DocumentCode
2627126
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
fYear
1998
fDate
14-17 Apr 1998
Firstpage
181
Lastpage
185
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Cellular Neural Networks and Their Applications Proceedings, 1998 Fifth IEEE International Workshop on
Conference_Location
London
Print_ISBN
0-7803-4867-2
Type
conf
DOI
10.1109/CNNA.1998.685360
Filename
685360
Link To Document