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A nonparametric pattern recognition approach using the kn nearest neighbors estimation to combine measurements

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2 Author(s)
Reybet-Degat, G. ; Heudiasyc, Univ. de Technol. de Compiegne, France ; Dubuisson, Bernard

The goal of this paper is to present a sequential combination rule of possibly inconsistent measurements based on a pattern recognition approach. As a pattern recognition problem, the multisensor fusion one is divided into two parts: first, the recognition of the observed parameter value (or mode) corresponding to the classical consistency test: second, the updating procedure of the modes estimations (and their associated error covariance matrix) with the information observed in the new measurement. The procedures presented below have been developed with a probabilistic measurement model and deal with the nonparametric case: the kn nearest neighbors method is used in order to estimate the probability density functions

Published in:

Systems, Man, and Cybernetics, 1996., IEEE International Conference on  (Volume:4 )

Date of Conference:

14-17 Oct 1996