Browsing CMRE Publications by Subject "Maritime situational awareness"
Now showing items 21-28 of 28
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Modeling vessel kinematics using a stochastic mean-reverting process for a long-term prediction
(CMRE, 2019/06)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 ... -
Multi-sensor data acquisition, tracking, fusion and intelligent decision aids in the NATO Maritime Situational Awareness Initiative: countering underwater intruders
(NURC, 2007/10)The objective of the NATO Maritime -
Performance assessment of vessel dynamic models for long-term prediction using heterogeneous data
(CMRE, 2019/06)Ship traffic monitoring is a foundation for many maritime security domains, and monitoring system specifications underscore the necessity to track vessels beyond territorial waters. However, vessels in open seas are seldom ... -
Prediction of rendezvous in maritime situational awareness
(CMRE, 2019/05)In this work, we consider the problem of algorithmically predicting rendezvous among vessels based on their trajectory forecasts in a maritime environment. The problem is treated as hypothesis testing on the expected value ... -
Proceedings of the Maritime Big Data Workshop
(2019-01)The NATO STO Centre for Maritime Research and Experimentation, as part of its mission to put forward the technological maritime research, with the support of the European Union’s Horizon 2020 Programme has organized on ... -
Proceedings of the Maritime Situational Awareness Workshop 2019
(CMRE, 2021-01)The Maritime Situational Awareness Workshop (MSAW) was held 08 - 10 October 2019 in Lerici, La Spezia (Italy). CMRE organized this workshop with the objective of fostering the crossfertilization of ideas from scientific ... -
Scalable and distributed sea port operational areas estimation from AIS data
(CMRE, 2019/06)Seaports are spatial units that do not remain static over time. They are constantly in flux, evolving according to environmental and connectivity patterns both in size and operational capacity. As such any valid decision ... -
Vessel pattern knowledge discovery from AIS data: a framework for anomaly detection and route prediction
(CMRE, 2014/01)Understanding maritime traffic patterns is key to Maritime Situational Awareness applications, in particular, to classify and predict activities. Facilitated by the recent build-up of terrestrial networks and satellite ...