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A scalable algorithm for tracking an unknown number of targets using multiple sensors
(CMRE, 2019/06)
We propose an algorithm for tracking an unknown number of targets based on measurements provided by multiple sensors. Our algorithm achieves low computational complexity and excellent scalability by running belief propagation ...
Bayesian multi-class covariance matrix filtering for adaptive environment learning
(CMRE, 2019/05)
Covariance matrix estimation is a crucial task in adaptive signal processing applied to several surveillance systems, including radar and sonar. In this paper we propose a dynamic environment learning strategy to track ...
Long-term vessel kinematics prediction exploiting mean-reverting processes
(CMRE, 2019/06)
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 ...
Realistic ship model for extended target tracking algorithms
(CMRE, 2019/06)
Recent developments in high resolution sensors have encouraged the use of Extended Target Tracking (ETT) algorithms specifically designed to deal with targets that generate more than one detection per frame. At the same ...
Converted measurements Bayesian extended target tracking applied to X-band marine radar data
(CMRE, 2019/06)
X-band marine radar systems are flexible and low-cost tools for monitoring multiple targets in a surveillance area. They can provide high resolution measurements both in space and time. Such features offer the opportunity ...
Maritime surveillance using multiple high-frequency surface-wave radars
(CMRE, 2014/05)
In the last decades, great interest has been directed toward low-power high-frequency (HF) surface-wave radars as long-range early warning tools in maritime-situational-awareness applications. These sensors, developed for ...
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 ...
Belief propagation based AIS/radar data fusion for multi-target tracking
(CMRE, 2019/05)
A data fusion technique aiming at combining observations from two classes of sensors is proposed. The first class consists of sensors that produce periodic noisy observations of the targets; moreover, they may also miss ...
Knowledge-based ship tracking applied to HF surface wave radar data
(CMRE, 2019/06)
In recent years, low-power high-frequency surface-wave radars have received significant attention thanks to their over-the-horizon coverage capability and the continuous-time operation mode. These radars have become effective ...
Multiple sensor measurement updates for the extended target tracking random matrix model
(CMRE, 2019/06)
In this paper, multiple sensor measurement update is studied for a random matrix model. Four different updates are presented and evaluated: three updates based on parametric approximations of the extended target state ...