DocumentCode
3058477
Title
Dynamic neural estimation for autonomous vehicles driving
Author
Del Bimbo, A. ; Landi, L. ; Santini, S.
fYear
1992
fDate
30 Aug-3 Sep 1992
Firstpage
350
Lastpage
354
Abstract
Mobile robots and vehicles may be driven by dynamical neural networks which utilize image data of real-world scenes collected through a TV camera for learning and performance. An innovative system for road direction detection is proposed which is comprised of three specialized blocks performing edge extraction, image-segments detection, and road direction estimation. The road direction estimation block is implemented as a feedback neural network
Keywords
Image edge detection; Layout; Mobile robots; Neural networks; Remotely operated vehicles; Roads; Robot vision systems; TV; Vehicle driving; Vehicle dynamics;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition, 1992. Vol.II. Conference B: Pattern Recognition Methodology and Systems, Proceedings., 11th IAPR International Conference on
Conference_Location
The Hague
Print_ISBN
0-8186-2915-0
Type
conf
DOI
10.1109/ICPR.1992.201790
Filename
201790
Link To Document