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 a analogue hardware Cellular Neural Network implementation of the algorithm is presented. In this paper a new CNN based PCI electronic board will be presented.
Salerno, M., Sargeni, F., Bonaiuto, V., Taraglio, S., Zanela, A. (2000). New board for CNN stereo vision algorithm. In Proceedings of the IEEE 2000 International Symposium on Circuits and Systems (ISCAS 2000) (pp.702-705). Piscataway : IEEE [10.1109/ISCAS.2000.856157].
New board for CNN stereo vision algorithm
Salerno M.;Sargeni F.;Bonaiuto V.;
2000-01-01
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 a analogue hardware Cellular Neural Network implementation of the algorithm is presented. In this paper a new CNN based PCI electronic board will be presented.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
