GAMMS is a Horizon2020 project enabling the exploitation of space data for surveying and mapping.

Its objective is to develop an autonomous terrestrial mobile mapping system (AMMS), based on the tight integration of autonomous vehicle (AV), navigation/geodetic, and artificial intelligence (AI) technologies. More specifically, GAMMS is developing a mapping robot for geodata acquisition and an AI-based highly automated mapping software to produce HD maps from the MMS remote sensing data.

DEIMOS is tasked with providing a triple frequency Galileo receiver (G3) that will provide GNSS measurements and Position, Velocity and Time (PVT) to an AI processing unit, which will receive data from other MMS remote sensors on the vehicle and produce HD maps. G3 receiver will make use of new open features of Galileo, namely the High Accuracy Service (HAS) and Open Service Navigation Message Authentication (OSNMA). The former consists of Precise Point Positioning (PPP) corrections, which will improve the user positioning performances; the latter allows the receiver to authenticate the navigation data received, guaranteeing that the data originates from the Galileo constellation.

Check the brochure below for more details.

GAMMS is developing an autonomous vehicle guided by Deimos GNSS receiver to produce an autonomous mobile mapping system

GAMMS project brochure