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Galileo/GNSS-based Autonomous Mobile Mapping System

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

Call for proposal

H2020-SPACE-EGNSS-2020
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Coordinator

GEOSAT
Address
Lieu-dit La Pointe
33610 Canejan
France
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
EU contribution
€ 321 387,50

Participants (7)

GEONUMERICS SL
Spain
EU contribution
€ 253 925
Address
Av Carl Friedrich Gauss 11
08860 Castelldefels Barcelona
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
SENSIBLE 4 OY
Finland
EU contribution
€ 255 500
Address
Turuntie 42
02650 Espoo
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
SOLID POTATO OY
Finland
EU contribution
€ 104 368,25
Address
Verkkokuja 7 A
02230 Espoo
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
DEIMOS ENGENHARIA SA
Portugal
EU contribution
€ 123 418,75
Address
Avenida Columbano Bordalo Pinheiro75 9A1
1070-061 Lisboa
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
ECOLE POLYTECHNIQUE FEDERALE DE LAUSANNE
Switzerland
EU contribution
€ 110 875
Address
Batiment Ce 3316 Station 1
1015 Lausanne
Activity type
Higher or Secondary Education Establishments
PILDO CONSULTING SL
Spain
EU contribution
€ 59 937,50
Address
Calle Marie Curie Parc Tecnologic Bcn Nord
08042 Barcelona
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
ENIDE SOLUTIONS .S.L
Spain
EU contribution
€ 154 350
Address
Calle La Font, 27, 2Nd Floor
08740 Sant Andreu De La Barca
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)