USEPE
2021 - 2022

USEPE

Drones are a growing business in Europe, delivering services in all environments, including urban areas. With the multiplication of use cases for drones, and the increase in number of drones populating our skies, strategic planning issues as well as operational questions arise for urban air mobility stakeholders:

  • How to define trajectories and priorities among flying objects?
  • Who shall be making decisions about separation, drones, U-Space systems, others?
  • What type of drones should fly at which altitude and in which conditions?
  • Should drones’ speed be limited in function of the drones’ position?

 

WHAT IS USEPE?

USEPE is a SESAR-JU, EU-funded project awarded to a consortium of 7 partners, including technology consulting companies NOMMON and INDRA, the local authorities’ network POLIS, and research universities and centres LUH, USN and DLR, coordinated by ISDEFE, the technical services provider for the Spanish State Administration.

The project addresses the separation of drones (from each other and from human-driven aviation) in the urban space environment, with a particular focus on densely populated areas. USEPE will propose and test a concept of operation intended to achieve Technology Readiness Level 2.

USEPE gathers stakeholders to enlarge the drone community, from those on the receiving side of drone operations (city councils, citizens) to those involved in their execution (drone operators, U-space service providers), including industry actors and researchers working on separation methods.

Based upon a structured collection of stakeholders’ needs in terms of drones’ separation, USEPE will develop a set of concepts of operation and enabling technologies to ensure the safe separation of drones. These methods will be confronted with reality in validation experiments.

USEPE’s KEY MESSAGES:

  • Stakeholder needs should be taken into account when designing safe separation methods for drones in U-Space.
  • Drones operating in a U-Space context can be separated in a safe manner.
  • Machine learning can be beneficial to automate the U-Space separation management system.

 

For more information, please visit the project's website: www.usepe.eu

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