A new board for CNN stereo vision algorithm

Author

Salerno, M. ; Sargeni, F. ; Bonaiuto, V. ; Taraglio, S. ; Zanela, A.

Author_Institution

Dept. of Electron. Eng., Rome Univ., Italy

Volume

3

fYear

2000

fDate

2000

Firstpage

702

Abstract

Artificial vision for environment recognition is a very useful tool in autonomous robotics. Specifically the use of stereo vision algorithms implemented via a hardware neural architecture allows real time scene reconstruction. In this paper the follow-on of previous work on an analogue hardware Cellular Neural Network implementation of the algorithm is presented. In this paper a new CNN based PCI electronic board is presented

Keywords

analogue processing circuits; cellular neural nets; image processing equipment; image reconstruction; real-time systems; robot vision; stereo image processing; CNN based PCI electronic board; CNN stereo vision algorithm; analogue hardware CNN implementation; artificial vision; autonomous robotics; cellular neural network implementation; computer vision; environment recognition; hardware neural architecture; real time scene reconstruction; Cameras; Cellular neural networks; Computer architecture; Computer vision; Hardware; Image reconstruction; Layout; Robot sensing systems; Robot vision systems; Stereo vision;

fLanguage

English

Publisher

ieee

Conference_Titel

Circuits and Systems, 2000. Proceedings. ISCAS 2000 Geneva. The 2000 IEEE International Symposium on

Conference_Location

Geneva

Print_ISBN

0-7803-5482-6

Type

conf

DOI

10.1109/ISCAS.2000.856157

Filename

856157