AI Situational Awareness Foundation for Advancing Automation

Projektinformationen

AISA

ID Finanzhilfevereinbarung: 892618

DOI 10.3030/892618

Projekt abgeschlossen

EK-Unterschriftsdatum 23 April 2020

Startdatum 1 Juni 2020

Enddatum 30 November 2022

Finanziert unter

• SOCIETAL CHALLENGES - Smart, Green And Integrated Transport

Gesamtkosten € 990 125,00

EU-Beitrag € 990 125,00

Koordiniert durch

SVEUCILISTE U ZAGREBU FAKULTET PROMETNIH ZNANOSTI
Croatia

Leistungen

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

Veröffentlichungen

Peer reviewed articles (2)

The Proposal of a Concept of Artificial Situational Awareness in ATC

Autoren: Tomislav Radišić, Petar Andraši, Doris Novak, Tea Rogošić
Veröffentlicht in: Engineering Power - Bulletin of the Croatian Academy of Engineering, Ausgabe Vol. 15(2) 2020, 2020, Seite(n) 23-28, ISSN 1331-7210
Herausgeber: Croatian Academy of Engineering

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

Autoren: Javier A. Pérez-Castán, Luis Pérez Sanz, Marta Fernández-Castellano, Tomislav Radišić, Kristina Samardžić, Ivan Tukarić
Veröffentlicht in: Sensors - Special Ausgabe Sensors for Navigation and Control Systems, Ausgabe 14248220, 2022, ISSN 1424-8220
Herausgeber: 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

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

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

Autoren: Michael Schrefl, Bernd Neumayr, Sebastian Gruber, Marlene Hartmann, Ivan Tukarić, Tomislav Radišić
Veröffentlicht in: Transportation Research Procedia, Ausgabe 23521465, 2022, Seite(n) Pages 328-336, ISSN 2352-1465
Herausgeber: 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

Autoren: Kristina Samardžić, Tomislav Radišić, Ivan Tukarić, Ruth Esther Häusler Hermann
Veröffentlicht in: Transportation Research Procedia, Ausgabe 23521465, 2022, Seite(n) Pages 316-327, ISSN 2352-1465
Herausgeber: Elsevier B.V.
DOI: 10.1016/j.trpro.2022.09.036

Machine Learning classification techniques applied to static air traffic conflict detection

Autoren: Javier A. Pérez-Castán, L. Pérez-Sanz, J. Bowen-Varela, L. Serrano-Mira, Tomislav Radisic, Thomas Feuerle
Veröffentlicht in: IOP Conference Series: Materials Science and Engineering, Ausgabe 17578981, 2022, ISSN 1757-8981
Herausgeber: IOP Science
DOI: 10.1088/1757-899x/1226/1/012019