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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

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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

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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

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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

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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

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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

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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.

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See also

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Cite error: A list-defined reference has no name (see the help page). [[Category:Horizon 2020 projects]] [[Category:Applications of artificial intelligence]] [[Category:Geographic data and information]] [[Category:European space programmes]]

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