Title :
A cellular neural network stereo vision system for autonomous robot navigation
Author :
Zanela, A. ; Taraglio, Sergio
Author_Institution :
ENEA, Rome, Italy
Abstract :
A complex sensor based control system is presented. The sensor used is a pair of TV cameras providing a stereogram for a stereo vision system based on a cellular neural network. The information thus extracted is used to perform indoor navigation of a robotised platform. Experimental data are provided for a simulated version of the CNN employed. Details of the in progress hardware implementation of the neural system are given
Keywords :
cellular neural nets; mobile robots; path planning; robot vision; stereo image processing; TV cameras; autonomous robot navigation; cellular neural network stereo vision system; complex sensor based control system; indoor navigation; robotised platform; stereogram; Cameras; Cellular neural networks; Control systems; Data mining; Navigation; Robot sensing systems; Robot vision systems; Sensor systems; Stereo vision; TV;
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.2000.876831
