Paper
7 May 2019 Maritime situational awareness with OCULUS Sea C2I and forensics tools for a Common Information Sharing Environment (CISE)
Stelios C. A. Thomopoulos
Author Affiliations +
Abstract
CISE stands for Common Information Sharing Environment and refers to an architecture and set of protocols, procedures and services for the exchange of data and information across Maritime Authorities of EU (European Union) Member States (MS’s). In the context of enabling the implementation and adoption of CISE by different MS’s, EU has funded a number of projects that enable the development of subsystems and adaptors intended to allow MS’s to connect and make use of CISE. In this context, the Integrated Systems Laboratory (ISL) has led the development of the corresponding Hellenic and Cypriot CISE by developing a Control, Command and Information (C2I) system that unifies all partial maritime surveillance systems into one National Situational Picture Management (NSPM) system, and adaptors that allow the interconnection of the corresponding national legacy systems to CISE and the exchange of data, information and requests between the two MS’s. Furthermore, a set of forensics tools that allow geospatial and time filtering and detection of anomalies, risk incidents, fake MMSIs, suspicious speed changes, collision paths, and gaps in AIS (Automatic Identification System), have been developed by combining motion models, AI, deep learning and fusion algorithms using data from different databases through CISE. This paper discusses these developments within the EU CISE-2020, Hellenic CISE and CY-CISE projects and the benefits from the sharing of maritime data across CISE for both maritime surveillance and security.
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Stelios C. A. Thomopoulos "Maritime situational awareness with OCULUS Sea C2I and forensics tools for a Common Information Sharing Environment (CISE)", Proc. SPIE 11018, Signal Processing, Sensor/Information Fusion, and Target Recognition XXVIII, 110180C (7 May 2019); https://doi.org/10.1117/12.2536966
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Cited by 1 scholarly publication.
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KEYWORDS
Forensic science

Maritime surveillance

C2I

Data modeling

Environmental monitoring

Artificial intelligence

Network architectures

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