DocumentCode
3208526
Title
Autonomous vehicle parking using finite state automata learned by J-CC artificial neural nets
Author
Osório, Fernando ; Heinen, Farlei ; Fortes, Luciane
Author_Institution
Centro de Ciencias Exatas a Tecnologicas Mestrado em Computacao Aplicada, Univ. do Vale do Rio dos Sinos, Sao Leopoldo, Brazil
fYear
2002
fDate
2002
Firstpage
196
Abstract
This paper presents the SEVA system, an autonomous vehicle parking simulator. This tool implements a robust control system for autonomous vehicle parking based on the finite-state automata and trained by the Jordan cascade-correlation (J-CC) artificial neural networks.
Keywords
automobiles; finite automata; intelligent control; learning (artificial intelligence); recurrent neural nets; robust control; Jordan cascade correlation neural networks; SEVA system; automobile; autonomous vehicle parking simulator; finite-state automata; incremental learning; intelligent control; parallel parking manoeuvre; recurrent neural networks; robust control; Actuators; Artificial neural networks; Automatic control; Infrared sensors; Intelligent sensors; Learning automata; Mobile robots; Remotely operated vehicles; Robust control; Vehicle safety;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 2002. SBRN 2002. Proceedings. VII Brazilian Symposium on
Print_ISBN
0-7695-1709-9
Type
conf
DOI
10.1109/SBRN.2002.1181472
Filename
1181472
Link To Document