Geonumerics, a Spanish/Catalan geospatial firm, is directing an intensive flight marketing campaign challenge, RPAS EGNOS Adoption and Liaison with navigation integrITY (REALITY), to generate a considerable amount of drone-flight navigation knowledge to check of flight-error properties: normally phrases, how a lot a drone is ready to keep on monitor.
REALITY will consider learning the Navigation System Error (NSE) — the accuracy of the navigation resolution — and Flight Technical Error (FTE), the deviation from the specified course. These two components are the principle contributors to the Required Navigation Efficiency (RNP) metric. REALITY goals to provide a brand new sense to the RNP figures, which have been historically used just for manned aviation, and adapt them for the drone group wants.
A key on this scheme is to generate “statistically significant” knowledge; that’s, as many samples of information as potential with a purpose to decouple the various variables that play a task in RNP efficiency degree, akin to: kind of drone, kind of flight, autopilot settings, climate situations (notably, wind), and so forth. REALITY will gather greater than 100 flight knowledge units as a foundation for this evaluation.
The accomplice in command of the intensive flights, CATUAV, has built-in the REALITY Navigation Unit (RNU), developed by Pildo Labs, that includes all the required navigation gear with a purpose to carry out the RNP evaluation. After each batch of information assortment, GeoNumerics is in command of producing the RNP evaluation. Aiming to signify the 2 most consultant drone sorts, each a rotary-wing and a fixed-wing platform have been chosen for the combination of the RNU.
REALITY will map non-recreational drone application-specific necessities into navigation efficiency and security necessities –i.e., into accuracy, availability, continuity & integrity– and analyze to what extent drone navigation methods primarily based on the European Geostationary Navigation Overlay Service (EGNOS, the European GNSS SBAS) meet them.
REALITY is motivated by the pressing want to reply, from an EGNSS perspective, to the problem of safely integrating lots of of 1000’s of non-recreational drones in EU airspace, flying at Very Low Degree (VLL) altitude –500 ft above ground-, and at identical time, by the problem of totally leveraging present EGNOS (particularly, its integrity service) for the particular RPAS wants. As seen in preliminary research, civil aviation requirements e.g. APV-I are clearly too conservative, non-protective for RPAS VLL operations, but EGNOS has potential to be totally unleashed by adapting its integrity efficiency.
To seize a large spectrum of moderately consultant application-specific necessities, REALITY works upon 4 forms of market- or social-relevant drone purposes as challenge eventualities: (SC1) maritime surveillance, (SC2) assist to fireplace combating missions, (SC3) freight transport and (SC4) [urban] aerial mapping. Utility-specific necessities shall be analyzed and flight rehearsals carried out in REALITY as a benchmark for EGNOS. An output of REALITY shall be proposals for subsequent technology Required Navigation Efficiency (RNP) specs for RPAS missions tailor-made to those 4 consultant purposes.
On the upstream, RNP specs for drone operations are related contributions to the evolution of EGNOS and of European and worldwide GNSS keen to assist RPAS markets, and on the downstream, they’re additionally important for the design of secure and cost-effective drone navigation methods. One other output of REALITY would be the evaluation of the contribution of EGNOS and EGNSS to a brand new technology of RNP-compliant drone navigation methods. (sometimes together with GNSS receivers, inertial items and presumably different sensors like magnetometers or barometric altimeters.) Such an holistic evaluation is invaluable for the EU and for aviation regulatory our bodies since such a reasoned account of contributions will again a brand new RNP specification, extra stringent than RNP 0.3 and extra applicable for the usage of EGNOS and EGNSS in drones, notably at VLL.