An AI-based Holistic Dynamic Framework for a safe Drone’s Operations in restricted and urban areas

Informazioni relative al progetto

AI4HyDrop

ID dell’accordo di sovvenzione: 101114805

DOI

10.3030/101114805

Data della firma CE 8 Giugno 2023

Data di avvio 1 Settembre 2023

Data di completamento 28 Febbraio 2026

Finanziato da

• Climate, Energy and Mobility

Costo totale

€ 1 993 112,50

Contributo UE

€ 1 993 112,50

Coordinato da

UNIVERSITETET I SOROST-NORGE
Norway

CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.

I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .

Risultati finali

Documents, reports (10)

CDE update 1

CDE intermediate (Month 13)

Conceptual Design Drone operational & environmental flight Plan

Description of Conceptual Design of Drone Operational Plan Processing SystemDescription of Conceptual Design Environmental Flight Plan and Operator Scoring.

CDE- Dissemination, Communication, exploitation

Report describing communication, dissemination and exploitation activities. Plan will be defined by month 3 and revised during the project lifespan

Eco-Eval

Qualitative Analysis of implementing the ecosystem assessing the potential benefitsagaints level of estimation of the costs.ECO-EVAL initial (Month 9)ECO-Eval Final (Month 18)

Study of communication mechanisms

Report describing the different drone communication mechanisms and operators that can be used.

Concept for airspace structure in European cities.

Description of how the urban plans of the future should look like by viewing the cities with a 3D perspective, considering the airspace as well.

State of art report-Functional and non-functional requirements (FRD)

Report with the different existing solutions and their degree of maturity. Includes social, technical, economical and regulators driversFRD Initial (Month 12)FRD Final (Month 20)

Procedure for emergency situations in urban environments.

Report that defines how the urban space should be structured to take into account emergency situations

Concept for DAA in an urban environment

Example for ‘stay well clear’ volume

Integrated Model Validations

Validation tests results.

Data Management Plan (2)

DMP update 1
Data Management Plan

Data Management report including as well a Research Management Plan RMP. The report will be updated along project lifespann DMP initial (Month 3)

Demonstrators, pilots, prototypes (1)

Dataset & Machine learning for drone detection

Dataset with drone data collected from various types of sensors and a set of ML alogorithms

Data sets, microdata, etc (1)

Toolbox involving wind surrogate models

Open-source toolbox involving wind surrogate models for use in drone community

Pubblicazioni

Peer reviewed articles (3)

Latency Analysis of Push–Pull and Publish–Subscribe Communication Protocols in U-Space Systems

Autori: Neno Ruseno, Fabio Suim Chagas, Miguel-Ángel Fas-Millán, Aurilla Aurelie Arntzen Bechina
Pubblicato in: Electronics, Numero 14, 2025, ISSN 2079-9292
Editore: MDPI AG
DOI: 10.3390/ELECTRONICS14122453

Analysis of API-Based Communication Performance for drone's operation in U-Space

Autori: Neno Ruseno, Fabio Suim Chagas, Miguel-Angel Fas-Millán, Aurilla Aurelie Arntzen Bechina
Pubblicato in: Transportation Research Procedia, Numero 81, 2024, ISSN 2352-1465
Editore: Elsevier BV
DOI: 10.1016/j.trpro.2024.11.021

Resource-constrained dynamic planning and model-free control in turbulent urban environments

Autori: Thomas Nakken Larsen, Mandar Tabib, Adil Rasheed
Pubblicato in: Robotics and Autonomous Systems, Numero 194, 2025, ISSN 0921-8890
Editore: Elsevier BV
DOI: 10.1016/J.ROBOT.2025.105130

Conference proceedings (4)

Low Latency Communication in U-space System: Comparative Analysis of Push-pull and Publisher-subscriber Protocols

Autori: Neno Ruseno , Fabio Suim Chagas, Miguel-Ángel Fas-Millán, and Aurilla Aurelie Arntzen Bechina
Pubblicato in: 1st International Conference on Drones and Unmanned Systems (DAUS' 2025), 2025
Editore: IFSA Publishing
DOI: 10.13140/RG.2.2.18747.94240

An Explainable and Fair Hierarchical RL-Based Alternative Trajectory Proposal Framework for Autonomous U-Plan Approval in U-Space

Autori: Seyed Erfan Seyed Roghani, Emre Koyuncu
Pubblicato in: 2025 Integrated Communications, Navigation and Surveillance Conference (ICNS), 2025
Editore: IEEE
DOI: 10.1109/ICNS65417.2025.10976800

A Survey of AI-based Models for UAVs’ Intelligent Control for Deconfliction

Autori: Xuan-Phuc Phan Nguyen; Neno Ruseno; Fabio Suim Chagas; Aurelie Aurilla Arntzen Bechina
Pubblicato in: International Conference on Control, Decision and Information Technologies (CoDIT), Numero 10th 2024, 2024, ISSN 2576-3555
Editore: IEEE
DOI: 10.1109/CODIT62066.2024.10708243

Comparison of Vision Language Models with Traditional Discriminative Computer Vision Models for Drone Detection Tasks

Autori: Enrique Puertas, Sergio Bemposta, Gerónimo Basso, Borja Monsalve, Ana del Valle Corrales and José Manuel López
Pubblicato in: 1st International Conference on Drones and Unmanned Systems (DAUS' 2025), 2025
Editore: IFSA Publishing