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
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;
Conference_Titel :
Neural Networks, 2002. SBRN 2002. Proceedings. VII Brazilian Symposium on
Print_ISBN :
0-7695-1709-9
DOI :
10.1109/SBRN.2002.1181472
