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Abstract

Cooperative stochastic positioning in a mobile environment is provided. Position announcements transmitted wirelessly from objects in the immediate area are received at an object of interest or primary object. The position announcements provide the current position data of the respective object in relation to a common coordinate system. The received position announcements are discretizing to obtain a plurality of data groupings based upon a clustering criteria applied to the received position data. Clustering of the data groupings is performed to determine which clusters dataset from the data groupings provide sufficient and consistent position accuracy to determine a relative position of the primary object. A stochastic automata model is then applied to selected cluster dataset to evaluate relative cluster weights in order to determine the relative position of the object of interest. The accuracy of a current position of the object of interest can then be updated based upon determined relative position.

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First Claim