AI Situational Awareness Foundation for Advancing Automation

Project Information

AISA

Grant agreement ID: 892618

DOI

10.3030/892618

Project closed

EC signature date 23 April 2020

Start date 1 June 2020

End date 30 November 2022

Funded under

• SOCIETAL CHALLENGES - Smart, Green And Integrated Transport

Total cost

€ 990 125,00

EU contribution

€ 990 125,00

Coordinated by

SVEUCILISTE U ZAGREBU FAKULTET PROMETNIH ZNANOSTI
Croatia

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Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Deliverables

Documents, reports (7)

Risk assessment report
Final Project Results Report
Report on human-machine distributed SA

Report on humanmachine distributed SA

TRL-Assessment Report

TRLAssessment Report

Exploitation and Dissemination Report
Requirements for automation of monitoring tasks via AI SA
Concept of Operations for AI Situational Awareness System

Demonstrators, pilots, prototypes (1)

Proof-of-concept KG system

Open Research Data Pilot (1)

Data Management Plan

Data Management Plan according to the Open Research Data pilot

Other (6)

Facts, rules and queries capturing en-route ATC operations
4D trajectory prediction module
Populated knowledge graph
Conflict detection module
KG-Prolog mapper
Air traffic complexity estimation module

Websites, patent fillings, videos etc. (1)

Project’s website and factsheet

Publications

Peer reviewed articles (2)

The Proposal of a Concept of Artificial Situational Awareness in ATC

Author(s): Tomislav Radišić, Petar Andraši, Doris Novak, Tea Rogošić
Published in: Engineering Power - Bulletin of the Croatian Academy of Engineering, Issue Vol. 15(2) 2020, 2020, Page(s) 23-28, ISSN 1331-7210
Publisher: Croatian Academy of Engineering

Learning Assurance Analysis for Further Certification Process of Machine Learning Techniques: Case-Study Air Traffic Conflict Detection Predictor

Author(s): Javier A. Pérez-Castán, Luis Pérez Sanz, Marta Fernández-Castellano, Tomislav Radišić, Kristina Samardžić, Ivan Tukarić
Published in: Sensors - Special Issue Sensors for Navigation and Control Systems, Issue 14248220, 2022, ISSN 1424-8220
Publisher: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/s22197680

Conference proceedings (4)

Design of an ATC Tool for Conflict Detection Based on Machine Learning Techniques

Author(s): Javier Alberto Pérez-Castán, Luis Pérez-Sanz, Lidia Serrano-Mira, Francisco Javier Saéz-Hernando, Irene Rodríguez Gauxachs, Víctor Fernando Gómez-Comendador
Published in: Aerospace - Special Issue 11th EASN International Conference on Innovation in Aviation & Space to the Satisfaction of the European Citizens, Issue 22264310, 2022, ISSN 2226-4310
Publisher: MDPI
DOI: 10.3390/aerospace9020067

Creating an ATC knowledge graph in support of the artificial situational awareness system

Author(s): Michael Schrefl, Bernd Neumayr, Sebastian Gruber, Marlene Hartmann, Ivan Tukarić, Tomislav Radišić
Published in: Transportation Research Procedia, Issue 23521465, 2022, Page(s) Pages 328-336, ISSN 2352-1465
Publisher: Elsevier B.V.
DOI: 10.1016/j.trpro.2022.09.037

Novel Artificial Situational Awareness System is Comparable with Human Situational Awareness in the En-route Air Traffic Control Domain

Author(s): Kristina Samardžić, Tomislav Radišić, Ivan Tukarić, Ruth Esther Häusler Hermann
Published in: Transportation Research Procedia, Issue 23521465, 2022, Page(s) Pages 316-327, ISSN 2352-1465
Publisher: Elsevier B.V.
DOI: 10.1016/j.trpro.2022.09.036

Machine Learning classification techniques applied to static air traffic conflict detection

Author(s): Javier A. Pérez-Castán, L. Pérez-Sanz, J. Bowen-Varela, L. Serrano-Mira, Tomislav Radisic, Thomas Feuerle
Published in: IOP Conference Series: Materials Science and Engineering, Issue 17578981, 2022, ISSN 1757-8981
Publisher: IOP Science
DOI: 10.1088/1757-899x/1226/1/012019