This paper proposes a conditionally Markov (CM) sequence for modeling trajectories passing by waypoints. A dynamic model governing the proposed sequence is ...

Sep 6, 2024 · This paper proposes a conditionally Markov (CM) sequence for modeling trajectories passing by waypoints. A dynamic model governing the proposed ...

This paper studies CM sequences and provides tools for application, especially for trajectory modeling with destination/waypoint information. To model a random ...

This article proposes a class of conditionally Markov (CM) sequences to model such trajectories with long-range dependencies, and derives dynamic models of ...

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Trajectory Modeling and Prediction with Waypoint Information Using a Conditionally Markov Sequence. R Rezaie, XR Li. 33, 2018. Gaussian Conditionally Markov ...

The origin, the waypoints, and the destination contain useful information for trajectory modeling. On the other hand, due to trajectory design criteria and ATM ...

It is demonstrated how the CML sequence enjoys several desirable properties for destination-directed trajectory modeling, including a joint endpoint density ...

Mar 13, 2021 · A Markov process has two main components: an initial density and an evolution law. Consider the problem of trajectory modeling and prediction ...

Trajectory Modeling and Prediction with Waypoint Information Using a Conditionally Markov Sequence. R. Rezaie, X. Li. 2018, Allerton Conference on ...