Title :
A dedicated hardware system for CNN stereo vision
Author :
Salerno, M. ; Sargeni, F. ; Bonaiuto, V. ; Taraglio, S. ; Zanela, A.
Author_Institution :
Dept. of Electron. Eng., Rome Univ., Italy
Abstract :
The stereo vision algorithm is a very promising technique in autonomous robotics to sense the environment. A successful implementation of this algorithm on Cellular Neural Networks (CNN) has been proposed. In this paper an analogue CNN hardware system able to perform such an algorithm is presented. This new system will be installed directly onto the robot and plays the role of a parallel analogue coprocessor
Keywords :
analogue processing circuits; cellular neural nets; coprocessors; image processing equipment; mobile robots; parallel architectures; robot vision; stereo image processing; CNN stereo vision; analogue CNN hardware system; autonomous robotics; cellular neural networks; dedicated hardware system; parallel analogue coprocessor; stereo vision algorithm; Biological neural networks; Cellular neural networks; Computational modeling; Computer architecture; Computer simulation; Coprocessors; Hardware; Parallel robots; Robot vision systems; Stereo vision;
Conference_Titel :
Circuits and Systems, 1999. ISCAS '99. Proceedings of the 1999 IEEE International Symposium on
Conference_Location :
Orlando, FL
Print_ISBN :
0-7803-5471-0
DOI :
10.1109/ISCAS.1999.780204
