DocumentCode :
1860750
Title :
A CNN-based passive optical range finder for real time robotic applications
Author :
Giaquinto, N. ; Taraglio, S. ; Savino, M.
Author_Institution :
Dipt. di Elettrotecnica ed Elettronica, Bari Univ., Italy
Volume :
1
fYear :
1998
fDate :
18-21 May 1998
Firstpage :
298
Abstract :
The paper presents a new 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; minimisation; real-time systems; robot vision; stereo image processing; CNN; autonomous robots; cellular neural network; energy minimization; passive optical range finder; real images; real time robotic applications; real-time stereo vision; stereo matching; stereo vision; Analog circuits; Application software; Cellular neural networks; Equations; Image reconstruction; Joining processes; Navigation; Neural networks; Robots; Stereo vision;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Instrumentation and Measurement Technology Conference, 1998. IMTC/98. Conference Proceedings. IEEE
Conference_Location :
St. Paul, MN
ISSN :
1091-5281
Print_ISBN :
0-7803-4797-8
Type :
conf
DOI :
10.1109/IMTC.1998.679788
Filename :
679788
Link To Document :
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