Description du projet
Une nouvelle stimulation spatiale pour un transport écologique
L’avenir du transport est durable et vert. Dans ce contexte, le projet HELMET, financé par l’UE, développera une architecture de surveillance de l’intégrité multimodale cybersécurisée à plusieurs capteurs basée sur le système mondial de navigation par satellite européen. Ces applications ouvriront la voie à des moyens de transport écologiques. Les adoptants cibles du système européen de navigation par recouvrement géostationnaire et de Galileo sont les voitures connectées et sans conducteur, la signalisation ferroviaire, les véhicules aériens sans équipage pour la surveillance des routes et des voies ferrées. Désireux de parvenir à la multimodalité, le projet transformera le caractère indépendant des routes et des chemins de fer en un écosystème synergique partageant des infrastructures numériques, des processus de sécurité et de certification afin de diminuer la consommation énergétique et la pollution. Les algorithmes innovants d’HELMET ainsi que différents capteurs seront testés dans la ville innovante italienne de L’Aquila.
Objectif
The main objective of HELMET is to develop innovative EGNSS applications capable to impacting on eco-friendly and green transportations means. Target adopters of EGNOS and Galileo are the Connetcted and driverless cars, Train signaling, UAV for surveillance of roads and railways. Multi-modality is HEMET’s differentiator to federate innovative applications transforming the independent habit of roads and railways into a synergic ecosystem sharing digital infrastructures, safety and certification processes to lower energy consumption and pollution. HELMET capability to operate UAVs increases the safety by introducing new means for integrated car and train automation. The high integrity and high accuracy platform relies on the Consortium’s know how of SBAS-EGNOS technology to stepping into the multi-constellation multi frequency and multi sensor domain to fight back against common hazards characterizing land mobile scenarios. HELMET will develop innovative algorithms with multi-sensors and a representative proof of concept to be tested in Italy, on the l’Aquila town test bed of EMERGE, the Italian project based on Galileo and 5G for the connected car coordinated by Radiolabs. Collaborative effort is foreseen with rail, road stake-holders and with the RTCM Committee on GNSS-based High Accuracy Applications already involved on train and car applications. The outcomes of HELMET are along the way to set up and operate such services that are crucial to enable cost-competitive vehicle’s positioning beyond the state of the art. HELMET consortium is composed by Radiolabs, DLR, Sogei, University of Pardubice, Stanford GNSS team, already partners in RHINOS project and two SMEs: RoboAuto for the driverless car and Kentro Kainotomon Tecnologion for GNSS technology. HELMET will seek to create a bridge with the Italian Ministry of Infrastructure and Transport and Ministry of Economical Development on the adoption of Galileo for smart mobility.
Champ scientifique
- engineering and technologyelectrical engineering, electronic engineering, information engineeringinformation engineeringtelecommunicationstelecommunications networksmobile network5G
- social sciencessocial geographytransportnavigation systemssatellite navigation systemglobal navigation satellite system
- social sciencessociologyindustrial relationsautomation
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringsensors
- natural sciencesearth and related environmental sciencesenvironmental sciencespollution
Programme(s)
Régime de financement
IA - Innovation actionCoordinateur
00198 Roma
Italie