The overall objective of GAMMS 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, we aim at developing an advanced prototype (TRL 6 to 7) of an autonomous terrestrial mobile mapping system –a mapping robot– based on an already existing Level of Automation 4 (LoA-41) AV for cm-level accurate and certifiable mapping to serve the needs of the growing markets of
1. High Definition (HD) maps for autonomous vehicles (a.k.a. driverless cars),
2. 3D maps for smart cities and augmented reality (AR) applications,
3. 3D maps to support Urban Air Mobility (UAM) applications –e.g. package delivery by drone or taxi
4. drones– and, in general, ground-to-low-level-airspace unmanned applications urban sustainable and safe mobility.
GAMMS mainly focuses on HD maps for AVs. In the long term, we envision fleets of low-cost, autonomous, electrically-powered, mobile mapping systems (MMS) collecting geodata in a massive, continuous yet inconspicuous way to produce/update the base maps of the mentioned HD maps. In other words, robots making maps for robots.