Title :
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
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;
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
DOI :
10.1109/ISCAS.2000.856157
