A Possibilistic Formulation of Autonomous Search for Targets
Zhijin Chen,
Branko Ristic,
Du Yong Kim
Abstract:Autonomous search is an ongoing cycle of sensing, statistical estimation, and motion control with the objective to find and localise targets in a designated search area. Traditionally, the theoretical framework for autonomous search combines sequential Bayesian estimation with information theoretic motion control. This paper formulates autonomous search in the framework of possibility theory. Although the possibilistic formulation is slightly more involved than the traditional method, it provides a means for q… Show more
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