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Autonomous vehicle parking using finite state automata learned by J-CC artificial neural nets

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3 Author(s)
Osorio, F.S. ; Centro de Ciencias Exatas a Tecnologicas Mestrado em Computacao Aplicada, Univ. do Vale do Rio dos Sinos, Sao Leopoldo, Brazil ; Heinen, F. ; Fortes, L.

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.

Published in:

Neural Networks, 2002. SBRN 2002. Proceedings. VII Brazilian Symposium on

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