Now showing items 21-37 of 37

    • 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 ...
    • Maritime situational awareness use cases enabled by space-borne sensors 

      Millefiori, Leonardo; Vivone, Gemine; Braca, Paolo; Cazzanti, Luca; Bryan, Karna (CMRE, 2019/06)
      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 ...
    • Maritime surveillance with multiple over-the-horizon HFSW radars: an overview of recent experimentation 

      Braca, Paolo; Maresca, Salvatore; Grasso, Raffaele; Bryan, Karna; Horstmann, Jochen (CMRE, 2019/06)
      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 ...
    • 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 ...
    • Multi-sensor ISAR technique for translational motion estimation 

      Bucciarelli, Marta; Pastina, Debora; Errasti, Borja; Braca, Paolo (CMRE, 2019/06)
      In the last years a lot of interest has grown concerning the exploitation of data acquired by multiple sensors belonging to multistatic or Multiple Input Multiple Output systems. Indeed increased information and/or better ...
    • 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 ...
    • Performance assessment of vessel dynamic models for long-term prediction using heterogeneous data 

      Vivone, Gemine; Millefiori, Leonardo; Braca, Paolo (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 ...
    • Proceedings of the Maritime Big Data Workshop 

      Camossi, Elena; Jousselme, Anne-Laure (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 

      Jousselme, Anne-Laure; Braca, Paolo; Millefiori, Leonardo; De Rosa, Francesca; Zocholl, Maximilian; Uney, Murat; Iphar, Clément; Gaglione, Domenico; Soldi, Giovanni; Forti, Nicola; D'Afflisio, Enrica (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 ...
    • Realistic extended target model for track before detect in maritime surveillance 

      Errasti, Borja; Fuscaldo, Walter; Braca, Paolo; Vivone, Gemine (CMRE, 2019/06)
      Traditional target tracking algorithms are generally fed a set of thresholded detections under the hypothesis that no more than one detection is generated by each single target. Improvements in modern radar systems have ...
    • Realistic ship model for extended target tracking algorithms 

      Errasti, Borja; Fuscaldo, Walter; Braca, Paolo; Vivone, Gemine (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 ...
    • Scalable and distributed sea port operational areas estimation from AIS data 

      Millefiori, Leonardo; Zissis, Dimitrios; Cazzanti, Luca; Arcieri, Gianfranco (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 ...
    • Scalable distributed change detection and its application to maritime traffic 

      Millefiori, Leonardo; Braca, Paolo; Arcieri, Gianfranco (CMRE, 2019/06)
      Building on a novel methodology based on the Ornstein-Uhlenbeck (OU) process to perform accurate long-term predictions of future positions of ships at sea, we present a statistical approach to the detection of abrupt changes ...
    • Validation of the Ornstein-Uhlenbeck route propagation model in the Mediterranean Sea 

      Millefiori, Leonardo; Pallotta, Giuliana; Braca, Paolo; Horn, Steven A.; Bryan, Karna (CMRE, 2019/06)
      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 ...
    • Variable structure interacting multiple model algorithm for ship tracking using HF surface wave radar data 

      Vivone, Gemine; Braca, Paolo; Horstmann, Jochen (CMRE, 2019/06)
      These last decades spawned a great interest towards low-power High-Frequency (HF) Surface-Wave (SW) radars for ocean remote sensing. By virtue of their over-the-horizon coverage capability and continuous time mode of ...