DocumentCode
1276209
Title
A CNN-based passive optical range finder for real-time robotic applications
Author
Giaquinto, Nicola ; Savino, Mario ; Taraglio, Sergio
Author_Institution
Dept. of Electrics & Electron., Polytech. of Bari, Italy
Volume
51
Issue
2
fYear
2002
fDate
4/1/2002 12:00:00 AM
Firstpage
314
Lastpage
319
Abstract
The paper presents a new cellular neural network (CNN) for real-time stereo vision, useful as a passive optical range finder for autonomous robots and vehicles. The stereo matching as energy minimization is discussed, and former neural approaches to the problem are analyzed. Experimental results with the new CNN both with synthetic and real images are reported, demonstrating the performance of the system
Keywords
cellular neural nets; distance measurement; mobile robots; real-time systems; robot vision; stereo image processing; autonomous robot; autonomous vehicle; cellular neural network; energy minimization; passive optical range finder; real image; real-time stereo vision; stereo matching; synthetic image; Cameras; Cellular neural networks; Computational geometry; Image reconstruction; Layout; Navigation; Optical computing; Robot kinematics; Robot vision systems; Stereo vision;
fLanguage
English
Journal_Title
Instrumentation and Measurement, IEEE Transactions on
Publisher
ieee
ISSN
0018-9456
Type
jour
DOI
10.1109/19.997830
Filename
997830
Link To Document