A CNN stereo vision hardware system for autonomous robot navigation

被引：0
|
作者：
Taragliol, S [1 ]
Zanela, A [1 ]
Salerno, M [1 ]
Sargeni, F [1 ]
Bonaiuto, V [1 ]
机构：
[1] INN RIN, CR Casaccia, ENEA, I-00060 Rome, Italy
来源：
CNNA 98 - 1998 FIFTH IEEE INTERNATIONAL WORKSHOP ON CELLULAR NEURAL NETWORKS AND THEIR APPLICATIONS - PROCEEDINGS | 1998年
关键词：
D O I：
10.1109/CNNA.1998.685360
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The high parallel analogue processing rate makes the Cellular Neural Networks paradigm really useful in such a problems where real-rime 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 realisations. In this paper some measurements of a stereo-vision algorithm on a CNN hardware implementation (the 720DPCNN System) will be shown.
引用
收藏
页码：181 / 185
页数：3
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