AI Situational Awareness Foundation for Advancing Automation

Informations projet

AISA

N° de convention de subvention: 892618

DOI 10.3030/892618

Projet clôturé

Date de signature de la CE 23 Avril 2020

Date de début 1 Juin 2020

Date de fin 30 Novembre 2022

Financé au titre de

• SOCIETAL CHALLENGES - Smart, Green And Integrated Transport

Coût total € 990 125,00

Contribution de l’UE € 990 125,00

Coordonné par

SVEUCILISTE U ZAGREBU FAKULTET PROMETNIH ZNANOSTI
Croatia

Livrables

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

Auteurs: Tomislav Radišić, Petar Andraši, Doris Novak, Tea Rogošić
Publié dans: Engineering Power - Bulletin of the Croatian Academy of Engineering, Numéro Vol. 15(2) 2020, 2020, Page(s) 23-28, ISSN 1331-7210
Éditeur: Croatian Academy of Engineering

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

Auteurs: Javier A. Pérez-Castán, Luis Pérez Sanz, Marta Fernández-Castellano, Tomislav Radišić, Kristina Samardžić, Ivan Tukarić
Publié dans: Sensors - Special Numéro Sensors for Navigation and Control Systems, Numéro 14248220, 2022, ISSN 1424-8220
Éditeur: 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

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

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

Auteurs: Michael Schrefl, Bernd Neumayr, Sebastian Gruber, Marlene Hartmann, Ivan Tukarić, Tomislav Radišić
Publié dans: Transportation Research Procedia, Numéro 23521465, 2022, Page(s) Pages 328-336, ISSN 2352-1465
Éditeur: 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

Auteurs: Kristina Samardžić, Tomislav Radišić, Ivan Tukarić, Ruth Esther Häusler Hermann
Publié dans: Transportation Research Procedia, Numéro 23521465, 2022, Page(s) Pages 316-327, ISSN 2352-1465
Éditeur: Elsevier B.V.
DOI: 10.1016/j.trpro.2022.09.036

Machine Learning classification techniques applied to static air traffic conflict detection

Auteurs: Javier A. Pérez-Castán, L. Pérez-Sanz, J. Bowen-Varela, L. Serrano-Mira, Tomislav Radisic, Thomas Feuerle
Publié dans: IOP Conference Series: Materials Science and Engineering, Numéro 17578981, 2022, ISSN 1757-8981
Éditeur: IOP Science
DOI: 10.1088/1757-899x/1226/1/012019