Iterative particle reduction methods and systems for...

Data processing: artificial intelligence – Knowledge processing system – Knowledge representation and reasoning technique

Reexamination Certificate

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Reexamination Certificate

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07613673

ABSTRACT:
Systems and methods using iterative particle reduction for localization and pattern recognition are disclosed. In one embodiment, a method for localization of a plurality of sensor nodes includes establishing a set of particles representing candidate positions for the plurality of sensor nodes; iteratively reducing the set of particles using a plurality of particle reduction iterations, wherein each particle reduction iteration eliminates at least some particles based on at least one constraint and a set of remaining particles from a prior iteration; and after performing the plurality of particle reduction iterations, determining a set of probable locations of the plurality of sensor nodes based on a final set of particles.

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Thrun et al., “Robust Monte Carlo Localization for Mobile Robots,” Artificial Intelligence (Summer 2001).

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