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• W2744288035 abstract "The paper presents chosen results of testing of non-linear filtering algorithms (an Extended Kalman Filter, two versions of Unscented Kalman Filters and a Particle Filter) in tracking applications. The accuracy of filters have been assessed and compared. The movement of tracked objects has been modeled in a Cartesian frame of reference, whereas the measurements are assumed to be realized in a polar frame of reference. The simulations have been realized under the assumption that the acceleration is described with the Univariate Non-Stationary Growth Model. All the tests have been performed in Matlab®." @default.
• W2744288035 created "2017-08-17" @default.
• W2744288035 creator A5014230941 @default.
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• W2744288035 date "2017-06-01" @default.
• W2744288035 modified "2023-09-24" @default.
• W2744288035 title "Estimation of object position using non-linear filters" @default.
• W2744288035 cites W2007233283 @default.
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• W2744288035 doi "https://doi.org/10.23919/irs.2017.8008255" @default.
• W2744288035 hasPublicationYear "2017" @default.
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