Project description
Setting the stage for manned aircraft and drones to safely share the skies
Drones are a growing business in Europe, offering huge potential for developing innovative civil applications in a wide variety of sectors. The EU-funded USEPE project plans to develop a concept of operations that ensures the safe separation of unmanned aerial vehicles (from other drones and manned aircraft) in a crowded urban airspace. To account for highly demanding environments such as cities, additional factors will be included in the concepts, for example the drone’s close proximity to buildings and extreme turbulent wind shears in urban canyons. Furthermore, the project will evaluate new machine learning methods to automate separation management.
Objective
The U-space concept was the response of the Warsaw Declaration in 2017 to use drones as a leverage for jobs and new business opportunities. The U-space Blueprint published by the SESAR Joint Undertaking in 2017, states that “U-space is a set of new services and specific procedures designed to support safe, efficient and secure access to airspace for large numbers of drones”.
The number of drones' applications is increasing and, with them, the number of drones that will be flying simultaneously in a same geographical area that will need to be safely separated between them and from manned aircraft to allow the maximum number of flights in a given airspace. The separation problem becomes even worst when flights take place in an urban environment where buildings and extreme turbulent wind shear appears close to them.
USEPE is aware of these problems and will research on drones’ separation methods in high demanding environments such as cities. This research will be accompanied by a concept of operations that will be implemented and simulated for its validation. USEPE will also research on the use of machine learning algorithms to automate the safe separation and deconfliction of drones while maintaining airspace capacity in different environments and provide the U-space separation management system with artificial intelligence to comply with the statement made in the European ATM Masterplan Roadmap for the safe integration of drones into all classes of airspace. “[…]to take advantage of the latest developments related to technological areas, such as artificial intelligence […]”.
In order to obtain valuable results, a casuistic of real urban scenarios will be defined and their feasibility will be assessed to select and implement the more suitable ones and perform a full validation by using the European Operational Concept Validation Methodology (E-OCVM).
The research approach will take into account both the strategic and tactical flight phases.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- engineering and technology mechanical engineering vehicle engineering aerospace engineering aircraft
- engineering and technology electrical engineering, electronic engineering, information engineering electronic engineering robotics autonomous robots drones
- social sciences social geography transport transport planning air traffic management
- natural sciences computer and information sciences artificial intelligence machine learning
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Keywords
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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H2020-EU.3.4. - SOCIETAL CHALLENGES - Smart, Green And Integrated Transport
MAIN PROGRAMME
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H2020-EU.3.4.7. - SESAR JU
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Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
RIA - Research and Innovation action
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Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) H2020-SESAR-2019-2
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Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
28040 Madrid
Spain
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.