Now showing items 1-6 of 6
Maritime situational awareness use cases enabled by space-borne sensors
This paper discusses a technique for predicting a vessel?s position over a long time horizon with much lower uncertainty than current methods. Lowering the uncertainty of long-range prediction is a key challenge in maritime ...
Long-term vessel kinematics prediction exploiting mean-reverting processes
Long-term target state estimation of non-manoeuvring targets, such as vessels under way in open sea, is crucial for maritime security. The dynamics of non-manoeuvring targets is traditionally modelled with a white noise ...
Modeling vessel kinematics using a stochastic mean-reverting process for a long-term prediction
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 ...
Maritime surveillance with multiple over-the-horizon HFSW radars: an overview of recent experimentation
This paper briefly explores the high-frequency surface-wave (HFSW) radar technology in general, and Wellen radar (WERA) in more detail. Then it describes the multitarget tracking data fusion (MTTDF) network architecture ...
Adaptive filtering of imprecisely time-stamped measurements with application to AIS networks
Driven by real-world issues in maritime surveillance, we consider the problem of estimating the target state from a sequence of observations that can be imprecisely time-stamped. That is, the time between two consecutive ...
Validation of the Ornstein-Uhlenbeck route propagation model in the Mediterranean Sea
Traffic route analysis and prediction are both crucial to maritime security. The ability to predict a vessel position in the future is essential to provide information on upcoming events. However, accurate prediction along ...