Objective
In GAMMS we will develop an autonomous terrestrial mobile mapping system; i.e. a mobile mapping system (MMS) robot for
geodata acquisition and an AI-based highly automated mapping software. In contrast to today’s manned MMS whose cost is
dominated by 2- to 3-people crews, we envision fleets of low-cost, autonomous, electrically-powered land vehicles, carrying
mobile mapping systems (MMS) and collecting geodata in a massive, continuous way. Although we will develop generalpurpose
geodata acquisition and processing techniques, in GAMMS we focus on the rapidly growing market of the High
Definition (HD) maps for the autonomous vehicles (AVs), a.k.a. self-driving cars. Because of the enormous task of mapping
the world roads for AVs we will develop highly automated software to produce HD maps from the MMS remote sensing data.
Because of the safety requirements of AVs, we will also develop map certification methods and quasi real-time, online
techniques to continuously update the HD maps.
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) and new
services: navigation message authentication (NMA), high-accuracy serive (HAS) and signal authentication. Galileo and our
trajectory determination methods enable the GAMMS concept.
Our market value proposition is the production of high-accuracy high-reliable maps at a fraction of today’s cost. In a first
fielding of the AMMS technology we will focus on the skyrocketing market of HD maps and, for this particular application, our
value proposition includes the quasi real-time, continuous online
Fields of science
- natural sciencescomputer and information sciencessoftware
- engineering and technologyenvironmental engineeringremote sensing
- engineering and technologymechanical engineeringvehicle engineeringautomotive engineeringautonomous vehicles
- social sciencessocial geographytransportnavigation systemssatellite navigation systemglobal navigation satellite system
Programme(s)
Call for proposal
H2020-SPACE-EGNSS-2020
See other projects for this call
Funding Scheme
IA - Innovation action
Coordinator
33610 Canejan
France
Participants (7)
08860 Castelldefels Barcelona
02650 Espoo
02230 Espoo
1070-061 Lisboa
1015 Lausanne
08042 Barcelona
08740 Sant Andreu De La Barca