Project description
A new space-based drive for green transportation
The future of transportation is sustainable and green. In this context, the EU-funded HELMET project will develop a cyber-secured multimodal, multi-sensor integrity monitoring architecture based on the European Global Navigation Satellite System. These applications will pave the way for green transportation means. Target adopters of the European Geostationary Navigation Overlay Service and Galileo are the connected and driverless cars, train signalling, unmanned aerial vehicles for surveillance of roads and railways. Aiming for multimodality, the project will transform 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’s innovative algorithms with multi sensors will be tested in Italy’s innovation town of L’Aquila.
Objective
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.
Fields of science
Not validated
Not validated
- 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)
Funding Scheme
IA - Innovation actionCoordinator
00198 Roma
Italy