Moteur de recherche d’entreprises européennes
Financement de l’UE (1 383 762 €) : Système de cartographie mobile autonome basé sur Galileo/GNSS Hor 04/06/2021 Programme de recherche et d'innovation de l'UE « Horizon »
Vue d’ensemble
Texte
Système de cartographie mobile autonome basé sur Galileo/GNSS
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 general purpose 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.
| Deimos Engenharia SA | 123 419 € |
| Ecole Polytechnique Federale DE Lausanne | 110 875 € |
| Enide Solutions .SL | 154 350 € |
| Geonumerics SL | 280 438 € |
| Geosat | 295 337 € |
| Pildo Consulting SL | 59 938 € |
| Sensible 4 Oy | 63 788 € |
| Solid Potato Oy | 104 368 € |
| Virtual Vehicle Research GmbH | 191 250 € |
https://cordis.europa.eu/project/id/101004255
Cette annonce se réfère à une date antérieure et ne reflète pas nécessairement l’état actuel.