GAVIOTA

Development of innovative global ground-to-air solutions for the safety of very low-altitude drone operations

PROJECT DESCRIPTION AND OBJECTIVES

The GAViOTA project aims to define a specific operations concept for RPAS for specific and certified applications with safe operating criteria, through the development of a navigation sensor (based on the EGNOS GNSS augmentation system) and surveillance sensor (based on ADS-B and IoT NB (4G) technology) that can be integrated into an RPAS platform. This sensor will not only offer new navigation and operation monitoring functionalities for the RPAS, thus enabling safe and innovative operations, but also aims to contribute to the RPAS meeting the requirements necessary for its future integration into non-segregated airspace.

In concrete terms, the GAViOTA project aims at 5 main objectives:

1.- Develop a concept of operations, supported by a safety study, to obtain operational approval, considering national regulations and the European roadmap for the integration of RPAS into airspace.

2.- Develop and integrate an EGNOS-based navigation sensor into an RPAS.

3.- Develop a ground-based network for the detection of non-cooperative aircraft that could affect the operation of the RPAS.

4.- Develop a “Detect and Avoid” operator position.

5.- Carry out a flight campaign to validate navigation and surveillance functions.

PARTNERS

PildoLabs Galaica

PildoLabs Barcelona

FADA-CATEC

FINANCING

The project is part of the 2017 Collaboration Challenges call of the State Program for Research, Development and Innovation oriented to the Challenges of Society, within the framework of the State Plan for Scientific and Technical Research and Innovation, 2013-2016. Project funded by the Ministry of Science, Innovation and Universities and the State Research Agency.

Scroll to Top
Privacy Overview

This website uses cookies so that we can provide you with the best user experience possible. Cookie information is stored in your browser and performs functions such as recognising you when you return to our website and helping our team to understand which sections of the website you find most interesting and useful.