Project Details
Framework of key enabling technologies for safe and autonomous drones´ applications
Project Period: 1. 10. 2019 - 31. 1. 2023
Project Type: grant
Code: 8A19003, 826610
Agency: ECSEL Joint Undertaking
Program: Společná technologická iniciativa ECSEL
UAV, drones, composition, autonomy, security, safety, interoperability
UAVs/drones can perform air operations that manned aircrafts struggle with, and their use brings significant economic savings and environmental benefits whilst reducing the risk to human life. UAV-based service and product innovation, as driven by increased levels of connectivity and automation, is curtailed by the growing dependence on poorly interoperable proprietary technologies and the risks posed to people, to other vehicles and to property. This issue was identified to have high impact on European innovation by SESAR JU, which demands R&D investments and incentives for the convergence of shared technologies and markets as a remedy. Actions creating globally harmonized, commercially exploitable yet widely accessible R&D ecosystems should be publicly performed. The COMP4DRONES project complements SESAR JU efforts with particular focus on safe software and hardware drone architectures. COMP4DRONES brings to bear a holistically designed ecosystem from application to electronic components, realized as a tightly integrated multi-vendor and
compositional UAV embedded architecture solution and a tool chain complementing the compositional architecture principles. The ecosystem aims at supporting (1) efficient customization and incremental assurance of UAV embedded platforms, (2) safe autonomous decision making concerning individual or cooperative missions, (3) trustworthy drone-todrone
and drone-to-ground communications even in presence of malicious attackers and under the intrinsic platform constraints, and (4) agile and cost-effective compositional design and assurance of UAV modules and systems. COMP4DRONES will also build an open sustainable ecosystem around public, royalty-free and implementation-driven software platform standards that will ease the development of new UAV functionalities for multiple application domains. COMP4DRONES achievements will be demonstrated through domain specific use-cases (construction, agriculture, delivery, logistic, sensing, swarm).
Chudý Peter, doc. Ing., Ph.D. MBA (UPGM FIT VUT) , team leader
Smrž Pavel, doc. RNDr., Ph.D. (UPGM FIT VUT) , team leader
Beran Vítězslav, doc. Ing., Ph.D. (UPGM FIT VUT)
Dytrych Jaroslav, Ing., Ph.D. (UPGM FIT VUT)
Hájková Gabriela, Mgr. (Děkanát FIT VUT)
Harmim Dominik, Ing. (UITS FIT VUT)
Herout Adam, prof. Ing., Ph.D. (UPGM FIT VUT)
Holík Lukáš, doc. Mgr., Ph.D. (UITS FIT VUT)
Hruška Martin, Ing. (UITS FIT VUT)
Chlubna Tomáš, Ing. (UPGM FIT VUT)
Juránková Markéta, Ing., Ph.D. (UPGM FIT VUT)
Juříček Zdeněk, Jr. (Děkanát FIT VUT)
Klíma Ondřej, Ing., Ph.D. (UPGM FIT VUT)
Koplík Karel, Ing. (UPGM FIT VUT)
Nosko Svetozár, Ing. (UPGM FIT VUT)
Novák Jiří, Ing., Ph.D. (UPGM FIT VUT)
Obrusníková Petra, Bc. (Děkanát FIT VUT)
Starka Tomáš, Ing. (UPGM FIT VUT)
Staroň Patrik, Bc. (FEKT VUT)
Španěl Michal, doc. Ing., Ph.D. (UPGM FIT VUT)
Vašíček Ondřej, Ing. (UITS FIT VUT)
2022
- VLK Jan, CHUDÝ Peter and PRUSTOMĚRSKÝ Milan. LQR Based Digital Autopilot For Light Sport Aircraft. In: 33rd Congress of the International Council of the Aeronautical Sciences, ICAS 2022. Stockholm: International Council of the Aeronautical Sciences, 2022, pp. 5321-5335. ISBN 978-1-7138-7116-3. ISSN 2958-4647. Detail
- NOVÁK Jiří and CHUDÝ Peter. Unmanned Aerial Vehicle's Trajectory Optimization in Constrained Environments. In: 33rd Congress of the International Council of the Aeronautical Sciences, ICAS 2022. Stockholm: International Council of the Aeronautical Sciences, 2022, pp. 5682-5696. ISBN 978-1-7138-7116-3. ISSN 2958-4647. Detail
2023
- RacerF, Version 1.0, software, 2023
Authors: Dacík Tomáš, Vojnar Tomáš Detail
2022
- Big Data Analytics Tool, software, 2022
Authors: Nosko Svetozár, Smrž Pavel, Zemčík Pavel Detail - HDR & Multi Spectral Imaging Library, software, 2022
Authors: Nosko Svetozár, Zemčík Pavel Detail - HDR Testing Toolset, software, 2022
Authors: Nosko Svetozár, Zemčík Pavel Detail - Mission Design and Optimization Tool, software, 2022
Authors: Novák Jiří, Chudý Peter Detail - Modelling & Simulation Tool, software, 2022
Authors: Šolony Marek, Milet Tomáš, Nosko Svetozár, Zemčík Pavel Detail - Temporal HDR Tone Mapping IP Core, software, 2022
Authors: Nosko Svetozár, Zemčík Pavel Detail