The last two months of the project have been pretty busy! After the succesful project workshop, the last meeting of the REALITY project, the Final Review, was held on November, 26th 2021. The project coordinator, GeoNumerics, moved to the headquaters of the European GNSS Service Center, in Torrejón de Ardoz (Spain), to meet with the project officer and project reviewer. The rest of the partners attended remotely.
With this meeting, the project came to a formal end of its activities. The review was a success, and the large amount of work done by the consortium was acknowledged by the officer and reviewer. The consortium is commited to continue exploring the foreground generated during the project, as this interest is naturally align with project partner's interests.
The recording of the REALITY Final Workshop, held on October, 21st 2021 at the BCN Drone Center (Collsuspina, Barcelona), is now available!
REALITY is about implementing safe navigation for drones, based on the Required Navigation Performance (RNP) concept and leveraged by the European EGNOS system. In this workshop, you will learn about the project goals, the results of the massive testing campaign (100+ flights) and the rehearsed real-life scenarios, focusing on the achieved navigation accuracy and integrity levels.
See the Comments section, in which we specify the recording times for each section.
The REALITY project consortium is pleased to announce its Final Workshop, taking place on October, 21st 2021 at the BCN Drone Center (Collsuspina, Barcelona).
REALITY is about implementing safe navigation for drones, based on the Required Navigation Performance (RNP) concept and leveraged by the European EGNOS system. At this 4-hour workshop, you will learn about the project goals, the results of the massive testing campaign (100+ flights) and the rehearsed real-life scenarios, focusing on the achieved navigation accuracy and integrity levels. Finally, a drone flight demo will be held by CATUAV with one of the platforms used in the project.
The event will be held in person following all current COVID protocols. Thus, confirmation is required before October, 8th and the number of atteendees will be limited.
For attendance confirmation and/or further questions, please contact pere.molina@geonumerics.com and conraddelgado@catuav.com.
At the begining of 2021, REALITY has entered into a new phase of the project: the intensive flight campaigns. The goal of this milestone is to generate a fairly large amount of navigation data, obtained through a varied collection of drone flights. This collection of data enables the study of the flight error properties, or in general terms, how much a drone is able to stay on the track.
REALITY will concentrate on studying the so-called Navigation System Error (NSE) -that is, the accuracy of the navigation solution- and Flight Technical Error (FTE) -the deviation from the desired course-. These two factors are the main contributors to the Required Navigation Performance (RNP) metric, which is the object of interest in our project. REALITY aims at giving a new sense to the RNP figures, which have been traditionaly used only for manned aviation, and adapt them for the drone community needs.
A key in this scheme is to generate "statstically meaningul" data; that is, as many samples of data as possible in order to decouple the various variables that play a role in RNP performance level, such as: type of drone, type of flight, autopilot settings, weather conditions -specially, wind-, etc. REALITY aims at collecting more than a hundred flight data sets as a basis for this analysis.
The partner in charge for the intensive flights, CATUAV, has integrated the REALITY Navigation Unit (RNU), developed by Pildo Labs, that incoroporates all the necessary navigation equipment in order to perform the RNP analysis. After every bunch of data collection, GeoNumerics is in charge of generating the RNP analysis. Aiming to represent the two most representative drone types, a rotary-wing and a fixed-wing platform have been selected for the integration of the RNU, as seen in the pictures.