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