Title :
An analogic CNN algorithm for following continuously moving objects
Author :
Gacsàdi, Alexandru ; Szolgay, Péter
Author_Institution :
Oradea Univ., Romania
Abstract :
A potential application of cellular neural networks (CNN) in adaptive control of a robot based on visual information is considered. The high processing speed of the network is used to provide real time processing. In this contribution an analogic CNN algorithm for following a moving object is shown. The algorithm was tested with the CNN infrastructure (CADETWin and CCPS)
Keywords :
adaptive control; analogue processing circuits; cellular neural nets; feature extraction; image sensors; industrial robots; neural chips; robot vision; CADETWin; CCPS; analogic CNN algorithm; continuously moving objects; high processing speed; visual information; Cameras; Cellular neural networks; Image sensors; Pixel; Robot kinematics; Robot sensing systems; Robot vision systems; Sensor systems; Service robots; Servomechanisms;
Conference_Titel :
Cellular Neural Networks and Their Applications, 2000. (CNNA 2000). Proceedings of the 2000 6th IEEE International Workshop on
Conference_Location :
Catania
Print_ISBN :
0-7803-6344-2
DOI :
10.1109/CNNA.2000.876828
