CBL - Campus del Baix Llobregat

Projecte llegit

Títol: EXTINCIA: An initial approach for U-space management in emergency scenarios

Estudiants que han llegit aquest projecte:

Director/a: GONZÁLEZ ARBESU, JOSÉ MARIA

Departament: TSC

Títol: EXTINCIA: An initial approach for U-space management in emergency scenarios

Data inici oferta: 11-02-2025     Data finalització oferta: 11-10-2025


Estudis d'assignació del projecte:
    MU DRONS
Tipus: Individual
 
Lloc de realització: Fora UPC    
 
        Supervisor/a extern: Marta García Gutiérrez
        Institució/Empresa: TELESPAZIO IBERICA SLU
        Titulació del Director/a: Grado en ingeniería aeroespacial y máste
 
Paraules clau:
UAS, U-space, EKF, IMM, VFR, RADAR, airspace management
 
Descripció del contingut i pla d'activitats:
 
Overview (resum en anglès):
Nowadays, wildfires represent a huge threat in society, with their impact in recent years demonstrating a significant increase in both frequency and intensity. This thesis presents the development of an airspace management system within the EXTINCIA project, focused on creating an integrated firewall and fire suppression system for rural environments. The project combines drones, artificial intelligence algorithms, and sophisticated airspace coordination mechanisms to enable safe simultaneous operations of both manned and unmanned aircraft in firefighting scenarios.

The main objective is focusing on the design and implementation of a non-collaborative primary surveillance station simulator and a UAS-VFR enabler system. The latter encompasses two fundamental modules: an association module for aircraft position reports and a trajectory prediction module for conflict detection and resolution.

The radar simulator module was completed (adding functionalities as selection of meteorological conditions or vegetation, contributing to signal attenuation) alongside the association service, which was successfully integrated with the U-Space provider and was developed implementing an Interacting Multiple Model Extended Kalman Filter (IMM-EKF), providing a good solution for adaptive target tracking.

The developed modules successfully meet the technical and operational requirements established at the project's outset, validating the effort invested. Future work will focus on enhancing system capabilities through improved radar simulation features, refined dynamic models, and advanced trajectory prediction algorithms, ultimately contributing to safer and more efficient wildfire suppression operations.

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