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Group Object Structure and State Estimation With Evolving Networks and Monte Carlo Methods.

, , , , and . IEEE Trans. Signal Processing, 59 (4): 1383-1396 (2011)

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A New Estimation Method for Multisensor Fusion by using Interval Analysis and Particle Filtering., , and . ICRA, page 3844-3849. IEEE, (2007)Extended object tracking with convolution particle filtering., , , and . IEEE Conf. of Intelligent Systems, page 96-101. IEEE, (2012)A convolution particle filtering approach for tracking elliptical extended objects., , , and . FUSION, page 1542-1549. IEEE, (2013)Non-linear state estimation using imprecise samples., , and . FUSION, page 2110-2116. IEEE, (2013)Box Particle Filtering for extended object tracking., , , and . FUSION, page 82-89. IEEE, (2012)Localisation of an Unknown Number of Land Mines Using a Network of Vapour Detectors., , , , , and . Sensors, 14 (11): 21000-21022 (2014)Mixture of uniform probability density functions for non linear state estimation using interval analysis., , and . FUSION, page 1-8. IEEE, (2010)A sequential Monte Carlo approach for extended object tracking in the presence of clutter., , , and . GI-Jahrestagung, volume P-192 of LNI, page 494. GI, (2011)Bernoulli Particle/Box-Particle Filters for Detection and Tracking in the Presence of Triple Measurement Uncertainty., , and . IEEE Trans. Signal Processing, 60 (5): 2138-2151 (2012)Nonlinear filtering using measurements affected by stochastic, set-theoretic and association uncertainty., , and . FUSION, page 1-8. IEEE, (2011)