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Framework of key enabling technologies for safe and autonomous drones’ applications

Deliverables

Project Handbook

The project handbook constitutes a set of project templates, explanations on the project management process, review process, quality checks, meeting organization, which is communicated to all partners. Delivered by T8.1

Methodology and workflow v1

1st version [D2.2] • Evaluation of state-of-the-art frameworks and methodologies identifying the necessary extension, and description of the methodology and workflow to use when using the COMP4DRONES framework.

Architecture for Communications and Security v1

First version [D5.1] This deliverable will define the trusted communication framework Architecture and specify the modules that will be designed in WP5, ensuring communication reliability and security. Plans for tool development and/or improvement with their corresponding final TRL will be outlined.

Data Management Plan

The DMP will provide an analysis of the main elements of the data management policy that will be used by the applications with regard to all the datasets that will be generated by the project. The DMP is not a fixed document, but evolves (if necessary) during the lifespan of the project. According to the Guidelines on Data Management in Horizon 2020, the DMP should address data set reference and name, data set description, standards and metadata, data sharing and archiving and preservation (including storage and backup) on a dataset by dataset basis and should reflect the current status of reflection within the consortium about the data that will be produced.

Specification of integrated and modular architecture for drones v1

This deliverable, linked to tasks T3.1 and T3.2, will provide specifications of standardized software framework for drones. These specifications cover the modular software architecture, the hardware independence interface, and the communication architecture between modules and layers of the architecture

Design Technology background

This deliverable will describe the design methods and tools put by the technology partners as background technology. Initial TRL will be provided. Plans for tool development and/or improvement with their corresponding final TRL will be outlined

Framework specification

Specification of the COMP4DRONES framework capabilities.

Methodological guide on sensory systems and data aggregation for drone’s platforms

This deliverable will provide a public available report that will include description of methodologies and sensory system as well as data aggregation algorithms for universal autonomous navigations systems for drones. This deliverable will include specifications and definitions of sensory systems, their role and will define algorithms and strategies of sensory fusion for pre-processing sensory information in drone’s platforms.

Press kit v1

This deliverable will provide the first iteration of project specific materials to summarize objectives, target audience, technology results and expected impact from the project for industries targeted by COMP4DRONES.

Web presence and periodic update

This deliverable will provide publicly available project information including introduction to the project and objectives, the partners involved, the expected results and the impact the results will have on the targeted industries. Publicly available deliverables will be made available for download. Additionally, it will include other web related presence such as twitter page and LinkedIn project page.

Press kit v2

This deliverable will provide the first iteration of project specific materials to summarize objectives, target audience, technology results and expected impact from the project for industries targeted by COMP4DRONES. • 1st update of presentation, brochure, and leaflet; new video1) [D7.3]

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Publications

Towards a framework of key technologies for drones

Author(s): Réda Nouacer, Mahmoud Hussein, Huascar Espinoza, Yassine Ouhammou, Matheus Ladeira, Rodrigo Castiñeira
Published in: Microprocessors and Microsystems, Issue 77, 2020, Page(s) 103142, ISSN 0141-9331
DOI: 10.1016/j.micpro.2020.103142

Mega-Modeling of complex, distributed, heterogeneous CPS systems

Author(s): Eugenio Villar, Hector Posadas, Rafik Henia, Laurent Rioux
Published in: Microprocessors and Microsystems, Issue 29 August 2020, 2020, Page(s) 103244, ISSN 0141-9331
DOI: 10.1016/j.micpro.2020.103244

Key Enabling Technologies for Drones

Author(s): M. Hussein, R. Nouacer, Y. Ouhammou, E. Villar, F. Corradi, C. Tieri, R. Castiñeira
Published in: IEEE proc. of the 2020 Conference on Digital System Design, DSD 2020, Issue August 2020, 2020

A Low Cost and Flexible Power Line Communication Sensory System for Home Automation

Author(s): Mirco Muttillo, Vittoriano Muttillo, Luigi Pomante, Leonardo Pantoli
Published in: 2020 IEEE International Workshop on Metrology for Industry 4.0 & IoT, 2020, Page(s) 191-196
DOI: 10.1109/metroind4.0iot48571.2020.9138191

Towards a Model-based Multi-Objective Optimization Approach For Safety-Critical Real-Time Systems

Author(s): Soulimane Kamni, Yassine Ouhammou, Antoine Bertout, Emmanuel Grolleau
Published in: 2020 Design, Automation & Test in Europe Conference & Exhibition (DATE), 2020, Page(s) 634-637
DOI: 10.23919/date48585.2020.9116388

Run-time Monitoring and Trace Analysis Methodology for Component-based Embedded Systems Design Flow

Author(s): V. Muttillo, G. Valente, L. Pomante, H. Posadas, J. Merino, E. Villar
Published in: IEEE proc. of the 2020 Conference on Digital System Design, DSD 2020, Issue August 2020, 2020

Data flow analysis from UML/MARTE models based on binary traces

Author(s): H. Posadas, J. Merino, E. Villar
Published in: DCIS 2020 (accepted), 2020

A Comparison of Uncertainty Estimation Approaches in Deep LearningComponents for Autonomous Vehicle Applications

Author(s): Fabio Arnez, Huascar Espinoza, Ansgar Radermacher and François Terrier
Published in: AISafety 2020, 2020

Framework of Key Enabling Technologies for Safe and Autonomous Drones' Applications

Author(s): Reda Nouacer, Huascar Espinoza Ortiz, Yassine Ouhammou, Rodrigo Castineira Gonzalez
Published in: 2019 22nd Euromicro Conference on Digital System Design (DSD), 2019, Page(s) 420-427
DOI: 10.1109/dsd.2019.00067

Towards an Architecture for Customizable Drones

Author(s): Mahmoud Hussein, Réda Nouacer
Published in: 2020 IEEE 44th Annual Computers, Software, and Applications Conference (COMPSAC2020), 2020

Towards a Modular and Customisable Model-Based Architecture for Autonomous Drones

Author(s): Matheus Ladeira, Yassine Ouhammou and Emmanuel Grolleau
Published in: 2020 IEEE 44th Annual Computers, Software, and Applications Conference, Issue 13–17 July 2020, 2020

Trust-Provisioning Infrastructure for a Global and Secured UAV Authentication System

Author(s): Dominic Pirker, Thomas Fischer, Harald Witschnig, Christian Steger
Published in: 2020 International Conference on Broadband Communications for Next Generation Networks and Multimedia Applications (CoBCom), 2020, Page(s) 1-6
DOI: 10.1109/cobcom49975.2020.9174131