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
IFEN GmbH announced that its NCS NOVA GNSS Simulator fully supports the simulation of Galileo Open-Service (OS) signal improvements based on the new Galileo OS SIS ICD V2.0. This is an important capability because the improved signals are not due to be broadcast until 2023, but can be incorporated now in GNSS receiver manufacturer testing regimes.
Among other updates, three new features are introduced to the I/NAV message transmitted on the Galileo E1-B signal component: Reduced Clock and Ephemeris Data (RedCED); Reed-Solomon Outer Forward Error Correction Data (FEC2); and Secondary Synchronization Pattern (SSP).
IFEN’s NCS NOVA GNSS Simulator is a high-end satellite navigation testing and R&D device, capable of multi-constellation and multi-frequency simulations for a wide range of GNSS applications.