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

CORDIS provides links to public deliverables and publications of HORIZON projects.

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 22(19), 7680, 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 9(2), 67, 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 Volume 64, 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 Volume 64, 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 Volume 1226, 2022, ISSN 1757-8981
Publisher: IOP Science
DOI: 10.1088/1757-899x/1226/1/012019