METHOD AND SYSTEM FOR COOPERATIVE STOCHASTIC POSITIONING IN A MOBILE ENVIRONMENT
First Claim
1. A method for cooperative stochastic positioning in a mobile environment executed by a processor in an object of interest, the method comprising:
- receiving position announcements transmitted wirelessly from a plurality of objects, the position announcements providing the current position data of the respective object in relation to a common coordinate system;
discretizing the received position announcements to obtain a plurality of data groupings based upon a clustering criteria applied to the received position data;
performing clustering of the data groupings to determine which cluster datasets from the data groupings provide sufficient and consistent position accuracy to determine a relative position of the object of interest;
applying stochastic automata model to selected cluster dataset to evaluate relative cluster weights in order to determine the relative position of the object of interest; and
updating accuracy of a current position of the object of interest based upon determined relative position.
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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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Citations
26 Claims
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1. A method for cooperative stochastic positioning in a mobile environment executed by a processor in an object of interest, the method comprising:
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receiving position announcements transmitted wirelessly from a plurality of objects, the position announcements providing the current position data of the respective object in relation to a common coordinate system; discretizing the received position announcements to obtain a plurality of data groupings based upon a clustering criteria applied to the received position data; performing clustering of the data groupings to determine which cluster datasets from the data groupings provide sufficient and consistent position accuracy to determine a relative position of the object of interest; applying stochastic automata model to selected cluster dataset to evaluate relative cluster weights in order to determine the relative position of the object of interest; and updating accuracy of a current position of the object of interest based upon determined relative position. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 12)
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10-11. -11. (canceled)
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13. A system for cooperative stochastic positioning in a mobile environment the system comprising:
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a first receiver for receiving positioning announcements from a plurality of objects, the position announcements providing the current position data of the respective object in relation to a common coordinate system; a processor coupled to the first receiver; and a memory comprising instructions for execution by the processor, the instructions comprising; discretizing the received position announcements to obtain a plurality of data groupings based upon a clustering criteria applied to the received position data; performing clustering of the data groupings to determine which cluster datasets from the data groupings provide sufficient and consistent position accuracy to determine a relative position of the object of interest; applying stochastic automata model to selected cluster dataset to evaluate relative cluster weights in order to determine the relative position of an object of interest; and updating accuracy of a current position of the object of interest based upon determined relative position. - View Dependent Claims (14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25)
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26. A computer readable memory providing instructions for performing cooperative stochastic positioning in a mobile environment, the when executed by a processor in an object of interest performing the method comprising:
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receiving wirelessly, position announcements transmitted from a plurality of objects, the position announcements providing the current position data of the respective object in relation to a common coordinate system; discretizing the received position announcements to obtain a plurality of data groupings based upon a clustering criteria applied to the received position data; performing clustering of the data groupings to determine which cluster datasets from the data groupings provide sufficient and consistent position accuracy to determine a relative position of the object of interest; applying stochastic automata model to selected cluster dataset position to evaluate relative cluster weights in order to determine the relative position of the object of interest; and updating accuracy of a current position of the object of interest based upon determined relative position.
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Specification