Project description
High definition maps for self-driving cars
Autonomous vehicles (AVs) need HD maps to operate safely, as they are more detailed, accurate and reliable than conventional navigation maps. The EU funded GAMMS project is developing an autonomous terrestrial mobile mapping system (AMMS), integrating AVs, space data by Galileo, and AI technologies. 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. GAMMS envisions fleets of low-cost, autonomous, electrically powered MMSs collecting geodata in a massive, continuous way, together with AI as a core component of an HD map processing engine to deal with huge loads of geo-data. That is, robots mapping for robots.
Fields of science
- engineering and technologymechanical engineeringvehicle engineeringautomotive engineeringautonomous vehicles
- natural sciencescomputer and information sciencessoftware
- social sciencessocial geographytransportnavigation systemssatellite navigation systemglobal navigation satellite system
- engineering and technologyenvironmental engineeringremote sensing
Programme(s)
Funding Scheme
IA - Innovation actionCoordinator
33610 Canejan
France
See on map
Participants (7)
08860 Castelldefels Barcelona
See on map
The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
02650 Espoo
See on map
The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
02230 Espoo
See on map
The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
1070-061 Lisboa
See on map
1015 Lausanne
See on map
08042 Barcelona
See on map
The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
08740 Sant Andreu De La Barca
See on map
The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.