The EUSPA-funded research project GAMMS for the automated geodata collection and production of HD maps is underway.
Castelldefels, 9 July 2021. Till the end of 2023, a European consortium, led by the French map service provider GEOSAT, will investigate how the combination of self-driving mapping cars —a.k.a. autonomous mobile mapping systems (AMMS)— and artificial intelligence-based mapping software can automate the production of high-definition (HD) maps. HD maps are the maps used by the driverless vehicles and shall be of provable/certifiable accuracy, completeness and up-to-dateness.
The challenge of the Galileo/GNSS-based AMMS (GAMMS) project is the fast, sustainable production of trustworthy maps. To face it, GAMMS brings together a wide spectrum of knowledge and 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) specialists. Galileo will be the main enabler of GAMMS given its precise, multi-path resistant measurements and its upcoming high-accuracy service (HAS).