Project objectives

Define requirements and capabilities for the RWC function of a Detect & Avoid system,
for unmanned air vehicles
into airspace classes D-G.

Integrate current R&D activities on the Remain Well Clear development.

Remain Well Clear

Algorithm and User Interface completely implemented

Remain Well Clear system implementation

RWC is a key function for enabling a full RPAS integration. URCleared is developing the core algorithm and a pilot’s user interface to support this function to allow the identification of a safe and optimal maneuver as well as the suitable timing considering traffic conditions and ATC services.

Derive requirements from previous work

Standards have been produced to define Remain Well Cleared concepts and parameters.  We start from EUROCAE ED-258 and a selection of related technical documents to produce a set of a set of use cases and operational scenarios 

Analysis of standards

Looking at current standards and scientific results to define operational scenarios

D-G Classes

Focusing on a peculiar airspace segment

Airspace Classes D-G

We focus on airspace classes D-G where very diverse airspace users are present ranging from other drones, to general aviation flights operating VFR. These segments of airspace also present different levels of ATC services to interact with.

Real-Time and Fast-Time Validation

We aim at reaching a full integration of RPAS with General Air Traffic. Our main objective is to contributo to a full RPAS integration in the D-G Airspaces

Extensive Validation

Technical and human aspects taken into account

WATCH OUR CONCEPT VIDEO

PROJECT PARTNERS

A MULTIDISCIPLINARY TEAM COMING FROM
cira_square
CIRA Project Coordinator
dblue_square
Deep Blue Dissemination
ectl_square
Eurocontrol Assessment and next steps
dlr_square
DLR Test Campaigns
general atomics_square
General Atomics RWC Functions
saab_square
SAAB Standardization
upc_square
UPC Operational Scenarios

NEWS

WANT TO KNOW MORE ABOUT URCLEARED? YOU WOULD LIKE TO COLLABORATE WITH US?

Project Coordinator

Edoardo Filippone (CIRA)
e.filippone@cira.it

 

Dissemination Manager

Damiano Taurino (DeepBlue)
damiano.taurino@dblue.it

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sju (1)

This project has received funding from the SESAR Joint Undertaking under the European Union’s Horizon 2020 research and innovation programme under grant agreement No 892440