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VIAVI Introduces Industry-Leading L- and Ku-band, Fully GNSS-Independent UTC Timing Services

VIAVI Introduces Industry-Leading L- and Ku-band, Fully GNSS-Independent UTC Timing Services
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VIAVI Launches L- and Ku-band UTC Timing Services Independent of GNSS - Inside GNSS - Global Navigation Satellite Systems Engineering, Policy, and Design

VIAVI Launches L- and Ku-band UTC Timing Services Independent of GNSS - Inside GNSS - Global Navigation Satellite Systems Engineering, Policy, and Design
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Robots Making Maps for Robots: Galileo/GNSS-based Mapping for High-Definition Guidance

A European consortium led by the French map service provider GEOSAT will investigate how the combination of self-driving mapping cars or autonomous mobile mapping systems (AMMS) and artificial intelligence-based mapping software can automate the production of high-definition (HD) maps. Driverless vehciles of the present and future use HD maps to navigate and they must be of provable/certifiable accuracy, completeness and currency. GAMMS The challenge of the Galileo/GNSS-based AMMS (GAMMS) project is the fast, sustainable production of trustworthy maps. GAMMS brings together a spectrum of knowledge experts: map making and machine learning (GEOSAT), multi-sensor fusion and accurate navigation (GeoNumerics), robotics and autonomous driving (Sensible4), GNSS and Galileo receiver development (DEIMOS Engenharia), sensor and vehicle dynamic modelling (EPFL) and multispectral laser scanning (Solid Potato). The consortium also includes regulatory (PILDO Labs) and communication (ENIDE) s

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