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• W1897034107 abstract "We present a novel method for tracking multiple targets, called Kernel-SME filter, that does not require an enumeration of measurement-to-target associations. This method is a further development of the symmetric measurement equation (SME) filter that removes the data association uncertainty of the original measurement equation with the help of a symmetric transformation. The key idea of the Kernel-SME filter is to define a symmetric transformation that maps the measurements to a Gaussian mixture function. This transformation is scalable to a large number of targets and allows for deriving a Gaussian state estimator that only has a cubic runtime complexity in the number of targets." @default.
• W1897034107 created "2016-06-24" @default.
• W1897034107 creator A5053963755 @default.
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• W1897034107 date "2013-07-09" @default.
• W1897034107 modified "2023-10-01" @default.
• W1897034107 title "The Kernel-SME filter for multiple target tracking" @default.
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