Browsing Reprints by Subject "Maritime situational awareness"
Now showing items 1-20 of 26
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Automated port traffic statistics: from raw data to visualization
(CMRE, 2017/11)We describe how we leveraged best practices in big data processing pipeline design and visual analytics to prototype the Maritime Patterns-of-Life Information Service (MPoLIS), an information product currently under ... -
Consistent estimation of randomly sampled Ornstein-Uhlenbeck process long-run mean for long-term target state prediction
(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 ... -
Context for maritime situation awareness
(CMRE, 2019/06)Effective maritime situation awareness (MSA) relies on high-level information fusion tasks that benefit from a formal approach to context-based reasoning. This chapter discusses the relative notion of context through the ... -
Converted measurements random matrix approach to extended target tracking using X-band marine radar data
(CMRE, 2019/06)Conventional tracking algorithms rely upon the hypothesis of one detection per target for each frame. However, very fine spatial resolution radars represent widespread systems that provide data for which this hypothesis ... -
Data-driven detection and context-based classification of maritime anomalies
(CMRE, 2019/06)Discovering anomalies at sea is one of the critical tasks of Maritime Situational Awareness (MSA) activities and an important enabler for maritime security operations. This paper proposes a data-driven approach to anomaly ... -
Detecting anomalous deviations from standard maritime routes using the Ornstein-Uhlenbeck process
(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 ... -
Detection, tracking and fusion of multiple HFSW radars for ship traffic surveillance: experimental performance assessment
(CMRE, 2014/05)Low-power HF surface-wave radars fit well the role of long-range early-warning tools in maritime situational awareness applications, by virtue of their over-the-horizon coverage capability and continuoustime mode of ... -
Dissecting uncertainty-based fusion techniques for maritime anomaly detection
(CMRE, 2019/06)Detecting and classifying anomalies for Maritime Situation Awareness gets a lot of benefit from the combination of multiple sources, correlating their output for detecting inconsistencies in vessels' behaviour. Adequate ... -
A distributed approach to estimating sea port operational regions from lots of AIS data
(CMRE, 2019/06)Seaports play a vital role in the global economy, as they operate as the connection corridors to all other modes of transport and as engines of growth for the wider region. But ports today are faced with numerous unique ... -
A document-based data model for large scale computational maritime situational awareness
(CMRE, 2019/06)Computational Maritime Situational Awareness (MSA) supports the maritime industry, governments, and international organizations with machine learning and big data techniques for analyzing vessel traffic data available ... -
Fostering the use of JANUS in operationally-relevant underwater applications
(CMRE, 2017/11)This paper presents the use of JANUS in operationally-relevant underwater applications. JANUS is an open, simple and robust digital coding technology currently in process to become a NATO standard. Two underwater scenarios ... -
Hybrid Bernoulli filtering for detection and tracking of anomalous path deviations
(CMRE, 2019/05)This paper presents a solution to the problem of sequential joint anomaly detection and tracking of a target subject to switching unknown path deviations. Based on a dynamic model described by Ornstein- Uhlenbeck (OU) ... -
Information and source quality ontology in support of maritime situational awareness
(CMRE, 2019/05)To support situation awareness, the benefit of using a variety of sources is undeniable although it brings additional challenges related to possible conflicting information, heterogeneity in data formats, semantics, ... -
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 ... -
Maritime anomaly detection based on mean-reverting stochastic processes applied to a real-world scenario
(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
(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 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 ... -
Maritime surveillance with multiple over-the-horizon HFSW radars: an overview of recent experimentation
(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 ... -
Mining maritime vessel traffic: promises, challenges, techniques
(CMRE, 2019/06)This paper discusses machine learning and data mining approaches to analyzing maritime vessel traffic based on the Automated Information System (AIS). We review recent efforts to apply machine learning techniques to AIS ... -
Model performance assessment for long-term vessel prediction using HFSW radar data
(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 ...