We present a novel method for predicting long-term target states based on mean-reverting stochastic processes. We use the Ornstein-Uhlenbeck (OU) process, leading to a revised target state equation and to a time scaling law for the related uncertainty that in the long term is shown to be orders of magnitude lower than under the nearly constant velocity (NCV) assumption. In support of the proposed model, an analysis of a significant portion of real-world maritime traffic is provided.
Modeling vessel kinematics using a stochastic mean-reverting process for long-term prediction
IEEE Transactions on Aerospace and Electronic Systems ; 52 , 5 ; 2313-2330
2016-10-01
2841728 byte
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
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