An End to end Interoperability Framework For MaritimE Situational Awareness at StrategiC and TacTical OpeRations

Informazioni relative al progetto

EFFECTOR

ID dell’accordo di sovvenzione: 883374

DOI 10.3030/883374

Progetto chiuso

Data della firma CE 30 Aprile 2020

Data di avvio 1 Ottobre 2020

Data di completamento 30 Settembre 2022

Finanziato da

• Secure societies - Protecting freedom and security of Europe and its citizens

Costo totale € 5 882 380,00

Contributo UE € 4 999 529,50

Coordinato da

Secrétariat général de la mer
France

Risultati finali

Other (1)

Initial Dissemination Material

Initial version of all printed and digital material produced. Final ones will be provided in the Project Final Report.

Documents, reports (4)

Legal Study on Maritime Awareness within EFFECTOR

This Report will identify the legal standards the challenges and the opportunities for the exchange of information to improve maritime situational awareness of activities at sea impacting on maritime safety and security within the objectives of the project

Communication and Dissemination Strategy and Plan

Describes the communication and dissemination strategy followed throughout the project period

Standardization Report

Provides analysis and recommendations for EFFECTOR standardization

Workshops Organization and Final Results

Results from the workshops

Websites, patent fillings, videos etc. (1)

EFFECTOR Initial Web Presence

Initial website and social media web spaces Final presence will be provided in the Project Final Report

Pubblicazioni

Conference proceedings (6)

Planning a Case for Shared Data Retrieval across the European Maritime Common Information Sharing EnvironmenT

Autori: Andrej Mihailović; Nexhat Kapidani; Žarko Lukšić; Ronan Tournier; Giuseppe Vella; Marios Moutzouris; Baptista de Sousa; Alexis Blum; Zdravko Paladin
Pubblicato in: 2022 26th International Conference on Information Technology (IT), 2022, ISBN 978-1-6654-2127-0
Editore: IEEE
DOI: 10.1109/it54280.2022.9743531

Autonomous Object Detection Using a UAV Platform in the Maritime Environment

Autori: Emmanuel Vasilopoulos, Georgios Vosinakis, Maria Krommyda, Lazaros Karagiannidis, Eleftherios Ouzounoglou, Angelos Amditis
Pubblicato in: Lecture Notes in Business Information Processing book series, Numero volume 446, 2022, Pagina/e 567–579
Editore: Springer, Cham.
DOI: 10.1007/978-3-031-05760-1_33

Combined AI Capabilities for Enhancing Maritime Safety in a Common Information Sharing Environment

Autori: Paladin, Zdravko; Kapidani, Nexhat; Luksic, Zarko; Mihailovic, Andrej; Scrima, Piero; Jacobé de Naurois, Charlotte; Laudy, Claire; Rizogiannis, Constantinos; Blum, Alexis
Pubblicato in: 35TH BLED ECONFERENCE DIGITAL RESTRUCTURING AND HUMAN (RE)ACTION, 2022, Pagina/e 145-160, ISBN 978-961-286-616-7
Editore: University of Maribor Press
DOI: 10.18690/um.fov.4.2022

Nested conceptual graphs for information fusion traceability

Autori: Charlotte Jacobé de Naurois, & Claire Laudy
Pubblicato in: Lecture Notes in Computer Science book series (LNAI,volume 12879), Numero volume 12879, 2021, Pagina/e 19–33
Editore: Springer
DOI: 10.1007/978-3-030-86982-3_2

A Maritime Big Data Framework Integration in a Common Information Sharing Environment

Autori: Paladin, Zdravko; Kapidani, Nexhat; Luksic, Zarko; Nicoletti, Tommaso; Moutzouris, Marios; Blum, Alexis; Astyakopoulos, Alkiviadis
Pubblicato in: MIPRO Conference, 2022, Pagina/e 1318 -1328
Editore: MIPRO 2022/DE-DS

Applying the Big Data Technologies for Enhancing Maritime Interoperability Framework

Autori: Zdravko Paladin, Nexhat Kapidani, Enis Kočan, Tommaso Nicoletti, Georgios Vosinakis, Alkiviadis Astyakopoulos, Christos Bolakis, Marios Moutzouris
Pubblicato in: 30th TELFOR2022 Proceedings of Papers, 2022, Pagina/e 105 – 109, ISBN 978-1-6654-7272-2
Editore: IEEE Xplore

Peer reviewed articles (2)

Design and Implementation of a UAV-Based Airborne Computing Platform for Computer Vision and Machine Learning Applications

Autori: Douklias, Athanasios, Lazaros Karagiannidis, Fay Misichroni, and Angelos Amditis
Pubblicato in: Special Numero UAV Imaging and Sensing, Numero Sensors 22, no. 5: 2049, 2022, ISSN 1424-8220
Editore: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/s22052049

A Comparative Study of Autonomous Object Detection Algorithms in the Maritime Environment Using a UAV Platform

Autori: Vasilopoulos, Emmanuel, Georgios Vosinakis, Maria Krommyda, Lazaros Karagiannidis, Eleftherios Ouzounoglou, and Angelos Amditis
Pubblicato in: Special Numero Computation and Analysis of Remote Sensing Imagery and Image Motion, Numero Computation 10, no. 3: 42, 2022, ISSN 2079-3197
Editore: MDPI
DOI: 10.3390/computation10030042