Browsing by Author "Willett, Peter K."
Now showing items 1-17 of 17
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Active signal detection in shallow water using the Page test
Abraham, Douglas A.; Willett, Peter K. (NATO. SACLANTCEN, 1996/11)The use of active sonar in shallow water results in received echoes that may be considerably spread in time compared to the transmitted wave form. The duration and structure of the spreading and the time of occurrence of ... -
Adaptive filtering of imprecisely time-stamped measurements with application to AIS networks
Millefiori, Leonardo; Braca, Paolo; Bryan, Karna; Willett, Peter K. (CMRE, 2019/06)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 ... -
Anomaly detection and tracking based on mean-reverting processes with unknown parameters
Forti, Nicola; Millefiori, Leonardo; Braca, Paolo; Willett, Peter K. (CMRE, 2019/05)Piecewise mean-reverting stochastic processes have been recently proposed and validated as an effective model for long-term object prediction. In this paper, we exploit the Ornstein-Uhlenbeck (OU) dynamic model to represent ... -
Consistent estimation of randomly sampled Ornstein-Uhlenbeck process long-run mean for long-term target state prediction
Millefiori, Leonardo; Braca, Paolo; Willett, Peter K. (CMRE, 2019/06)In this letter, we study the problem of estimating the long-run mean of the Ornstein-Uhlenbeck (OU) stochastic process and its effect on the long-term prediction of future vessel states, which is a crucial problem for ... -
Detecting anomalous deviations from standard maritime routes using the Ornstein-Uhlenbeck process
D'Afflisio, Enrica; Braca, Paolo; Millefiori, Leonardo; Willett, Peter K. (CMRE, 2019/05)A novel anomaly detection procedure based on the Ornstein-Uhlenbeck (OU) mean-reverting stochastic process is presented. The considered anomaly is a vessel that deviates from a planned route, changing its nominal velocity ... -
Long-term vessel kinematics prediction exploiting mean-reverting processes
Millefiori, Leonardo; Braca, Paolo; Bryan, Karna; Willett, Peter K. (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 ... -
Maritime anomaly detection based on mean-reverting stochastic processes applied to a real-world scenario
D'Afflisio, Enrica; Braca, Paolo; Millefiori, Leonardo; Willett, Peter K. (CMRE, 2019/05)A novel anomaly detection procedure based on the Ornstein-Uhlenbeck (OU) mean-reverting stochastic process is presented. The considered anomaly is a vessel that deviates from a planned route, changing its nominal velocity ... -
Model performance assessment for long-term vessel prediction using HFSW radar data
Vivone, Gemine; Millefiori, Leonardo; Braca, Paolo; Willett, Peter K. (CMRE, 2019/06)Vessels in open seas are seldom continuously observed. Thus, the problem of long-term vessel prediction becomes crucial. This paper focuses its attention on the performance assessment of the Ornstein- Uhlenbeck target ... -
Modeling vessel kinematics using a stochastic mean-reverting process for a long-term prediction
Millefiori, Leonardo; Braca, Paolo; Bryan, Karna; Willett, Peter K. (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 ... -
Multiple Bayesian extended target tracking
Vivone, Gemine; Braca, Paolo; Granström, Karl; Willett, Peter K. (CMRE, 2019/06)To track an extended target presents challenges because the hypothesis of "one target means one detection" is not valid. Several approaches to extended target tracking (ETT) have been found promising, and in particular ... -
Multiple Ornstein-Uhlenbeck processes for maritime traffic graph representation
Coscia, Pasquale; Braca, Paolo; Millefiori, Leonardo; Palmieri, Francesco A. N.; Willett, Peter K. (CMRE, 2019/05)We propose an unsupervised procedure to automatically extract a graph-based model of commercial maritime traffic routes from historical Automatic Identification System (AIS) data. In the proposed representation, the main ... -
Multiple sensor Bayesian extended target tracking fusion approaches using random matrices
Vivone, Gemine; Granström, Karl; Braca, Paolo; Willett, Peter K. (CMRE, 2019/06)The tracking of extended targets is attracting a growing literature thanks to the high resolution of several modern radar systems. A fully Bayesian solution has been proposed in the random matrix framework. In this paper, ... -
Multiple sensor measurement updates for the extended target tracking random matrix model
Vivone, Gemine; Granström, Karl; Braca, Paolo; Willett, Peter K. (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 ... -
Multisensor adaptive Bayesian tracking under time-varying target detection probability
Papa, Giuseppe; Braca, Paolo; Horn, Steven A.; Marano, Stefano; Matta, Vincenzo; Willett, Peter K. (CMRE, 2019/06)In practical tracking applications, the target detection performance may be unknown and also change rapidly in time. This work considers a network of sensors and develops a target-tracking procedure able to adapt and react ... -
A scalable algorithm for tracking an unknown number of targets using multiple sensors
Meyer, Florian; Braca, Paolo; Willett, Peter K.; Hlawatsch, Franz (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 ... -
The Ninth International Conference on Information Fusion (Fusion 2006) final conference report
Coraluppi, Stefano; Baldacci, Alberto; Carthel, Craig; Willett, Peter K.; Lynch, Robert; Marano, Stefano; Farina, Alfonso (NURC, 2006/10)The 9th International Conference on Information Fusion (FUSION 2006) was held on 10-13 July 2006 in Florence, Italy. The FUSION conference series serves as the annual gathering and -
Tracking an unknown number of targets using multiple sensors: a belief propagation method
Meyer, Florian; Braca, Paolo; Willett, Peter K.; Hlawatsch, Franz (CMRE, 2019/06)We propose a multisensor method for tracking an unknown number of targets. Low computational complexity and very good scalability in the number of targets, number of sensors, and number of measurements per sensor are ...