A Galileo Global Navigation Satellite System satellite hangs above, from left to right, a Meteosat third generation weather satellite, a SAR Lupe military reconnaissance satellite, a European geostationary platform satellite, and a CarbonSat environmental observation satellite in the lobby of OHB SE satellite factory in Bremen, Germany, on Thursday, Oct. 17, 2019.
The AIGNSS project used AI-enabled algorithms, applying them to boost the performance in GNSS positioning for autonomous driving. Researchers used multiple satnav constellations – like Galileo – and frequencies of roadway settings in the United Kingdom, and applied signal analysis. The addition of AI led to performance improvements, although they were"not substantial in character.
A flag with the logo of the European Space Agency flutters in the wind on the premises of the Kourou space station in French Guiana. on Oct. 19, 2018. Lastly, the MEDuSA project – which favors signals from Galileo – offers a means of detecting drones in all visibility conditions and estimating their trajectories using a"radar-based approach where GNSS signals are employed as the radar signal source of opportunity for sensors to detect around the area of interest."The projects algorithms spot drones through forward scattering detection and machine learning and predictive Kalman filters use data to find the drone’s onward trajectory.
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