Control strategy selection for autonomous vehicles in a dynamic environment

Document Type

Conference Proceeding

Publication Date

11-30-2005

Abstract

Autonomous mobile vehicles rely on sensors as a primary perception mechanism. Multiple sensors are used to tolerate certain types of errors and inaccuracy due to system faults and uncertain environment. An autonomous vehicle should be able to detect the dependability of various sensor data and choose the best control strategy based on its internal state and the external environment. This paper proposes a fuzzy rule based control strategy selection approach for mobile navigation in a dynamic real world environment. Fuzzy Reasoning Petri Nets are used for system modeling and parallel reasoning. The control strategy combining the most dependable sensor data can be chosen quickly based on the proposed approach. Case studies are provided to illustrate and verify the approach. © 2005 IEEE.

Identifier

27944459648 (Scopus)

Publication Title

Conference Proceedings IEEE International Conference on Systems Man and Cybernetics

ISSN

1062922X

First Page

1651

Last Page

1656

Volume

2

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