Draft:GAMMS (Galileo/GNSS-based Autonomous Mobile Mapping System)

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GAMMS (Galileo/GNSS-based Autonomous Mobile Mapping System) is a European research and innovation project funded by the Horizon 2020 programme. The project aims to develop an autonomous mobile mapping system (AMMS) for terrestrial use by integrating satellite-based positioning technologies, artificial intelligence (AI), and autonomous vehicle platforms. GAMMS is coordinated by an international consortium and supported by the European Union Agency for the Space Programme (EUSPA).

Objetives

The main goal of GAMMS is to create a prototype of an autonomous terrestrial mobile mapping system with a Technology Readiness Level (TRL) of 6 to 7. The system combines centimeter-level accurate positioning based on Galileo GNSS, advanced real-time geolocation, and automated map generation using AI techniques.

Technical approach

The GAMMS system is composed of two main elements:

A terrestrial mobile mapping robot based on an existing Level 4 automation vehicle platform.

An AI-powered software engine capable of processing geospatial data and generating high-definition (HD) maps from multiple sensor inputs.

This integration enables automated data acquisition and near real-time HD map production with minimal human intervention.

Applications

GAMMS is designed to support several practical use cases, including:

Urban infrastructure and road condition monitoring.
Navigation assistance for autonomous vehicles.
Environmental mapping and spatial analysis.
Support for smart city development and digital twins.

Consortium

The project is carried out by a consortium of eight organizations from five European countries:

GEOSAT (Portugal): Project coordinator responsible for the mobile mapping system and AI-based map generation tools.
GeoNumerics (Spain): Technical coordinator with expertise in trajectory estimation and multisensor navigation.
DEIMOS Engenharia (Portugal): Provides GNSS receiver technology with spoofing mitigation via Navigation Message Authentication (NMA).
ENIDE Solutions (Spain): Responsible for business modeling and market strategy.
EPFL – École Polytechnique Fédérale de Lausanne (Switzerland): Contributes expertise in vehicle dynamics modeling.
Pildo Labs (Spain): Specializes in risk assessment for autonomous mission planning.
Virtual Vehicle Research GmbH (Austria): Focuses on simulation and virtual validation in transportation systems.
Solid Potato (Netherlands): Offers knowledge in multispectral LiDAR technologies.

Collaborations

GAMMS seeks synergies with other European initiatives to share knowledge and align with ethical, regulatory, and technical standards. Collaborating projects include:

ALICE – A European Technology Platform on logistics innovation.
ARCADE – A support action for connected and automated driving in Europe.
Other projects within the EUSPA portfolio.

Funding

GAMMS is funded by the European Union under the Horizon 2020 research and innovation programme through grant agreement No. 101004255. The total EU contribution exceeds €1.9 million.

External links

References

^[1]

^ Proyecto GAMMS en CORDIS

Category:Horizon 2020 projects Category:Applications of artificial intelligence Category:Geographic data and information Category:European space programmes

[1] Proyecto GAMMS en CORDIS

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