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

Información del proyecto

AI4HyDrop

Identificador del acuerdo de subvención: 101114805

DOI

10.3030/101114805

Fecha de la firma de la CE 8 Junio 2023

Fecha de inicio 1 Septiembre 2023

Fecha de finalización 28 Febrero 2026

Financiado con arreglo a

• Climate, Energy and Mobility

Coste total

€ 1 993 112,50

Aportación de la UE

€ 1 993 112,50

Coordinado por

UNIVERSITETET I SOROST-NORGE
Norway

CORDIS proporciona enlaces a los documentos públicos y las publicaciones de los proyectos de los programas marco HORIZONTE.

Los enlaces a los documentos y las publicaciones de los proyectos del Séptimo Programa Marco, así como los enlaces a algunos tipos de resultados específicos, como conjuntos de datos y «software», se obtienen dinámicamente de OpenAIRE .

Resultado final

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

Publicaciones

Peer reviewed articles (3)

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

Autores: Neno Ruseno, Fabio Suim Chagas, Miguel-Ángel Fas-Millán, Aurilla Aurelie Arntzen Bechina
Publicado en: Electronics, Edición 14, 2025, ISSN 2079-9292
Editor: MDPI AG
DOI: 10.3390/ELECTRONICS14122453

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

Autores: Neno Ruseno, Fabio Suim Chagas, Miguel-Angel Fas-Millán, Aurilla Aurelie Arntzen Bechina
Publicado en: Transportation Research Procedia, Edición 81, 2024, ISSN 2352-1465
Editor: Elsevier BV
DOI: 10.1016/j.trpro.2024.11.021

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

Autores: Thomas Nakken Larsen, Mandar Tabib, Adil Rasheed
Publicado en: Robotics and Autonomous Systems, Edición 194, 2025, ISSN 0921-8890
Editor: 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

Autores: Neno Ruseno , Fabio Suim Chagas, Miguel-Ángel Fas-Millán, and Aurilla Aurelie Arntzen Bechina
Publicado en: 1st International Conference on Drones and Unmanned Systems (DAUS' 2025), 2025
Editor: 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

Autores: Seyed Erfan Seyed Roghani, Emre Koyuncu
Publicado en: 2025 Integrated Communications, Navigation and Surveillance Conference (ICNS), 2025
Editor: IEEE
DOI: 10.1109/ICNS65417.2025.10976800

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

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

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

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