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 the 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 realizations. In this paper some measurements of a stereo-vision algorithm on a CNN hardware implementation (the 720DPCNN System) will be shown.
|Publication status||Published - 1998|
|Event||Proceedings of the 1998 5th IEEE International Workshop on Cellular Neural Networks and Their Applications, CNNA - , Unknown|
Duration: 1 Jan 1998 → …
|Conference||Proceedings of the 1998 5th IEEE International Workshop on Cellular Neural Networks and Their Applications, CNNA|
|Period||1/1/98 → …|
All Science Journal Classification (ASJC) codes
Taraglio, S., Zanela, A., Salerno, M., Sargeni, F., & Bonaiuto, V. (1998). CNN stereo vision hardware system for autonomous robot navigation. Paper presented at Proceedings of the 1998 5th IEEE International Workshop on Cellular Neural Networks and Their Applications, CNNA, Unknown.