Galileo/GNSS-based Autonomous Mobile Mapping System

GAMMS aims to develop an autonomous terrestrial mobile mapping system, i.e. a mobile mapping system (MMS) robot for geodata acquisition and a highly automated, AI-based mapping software. In contrast to today’s manned MMS whose cost is dominated by 2- to 3-people crews, GAMMS envisions fleets of low-cost, autonomous, electrically-powered land vehicles, carrying mobile mapping systems (MMS) and collecting geodata in a massive, continuous way. GAMMS focuses on the rapidly growing market of the High Definition (HD) maps for the autonomous vehicles (AVs), i.e. self-driving cars. Because of the enormous task of mapping the world roads for AVs, a highly automated software to produce HD maps from the MMS remote sensing data will be developed. Because of the safety requirements of AVs, map certification methods and quasi real-time, online techniques to continuously update the HD maps will aslo be developed. The building blocks of GAMMS are an electrically-powered AV, a MMS, a GNSS/Galileo receiver, multi-sensor trajectory determination software, multispectral laser scanners, vehicle dynamic models, automated mapping software, and mission risk analysis methods. A keystone of GAMMS – which encompasses the extension of the Galileo receiver and the development of ultra-safe, ubiquitous navigation methods at the 5 cm error level – is the use of Galileo features (e.g. E5 AltBOC signal)as well as new services: navigation message authentication (NMA), high-accuracy serive (HAS), and signal authentication.