HELMET SIGNED
High integrity EGNSS Layer for Multimodal Eco-friendly Transportation
Total Cost €
0EC-Contrib. €
0Partnership
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0HELMET project word cloud
Explore the words cloud of the HELMET project. It provides you a very rough idea of what is the project "HELMET" about.
Project "HELMET" data sheet
The following table provides information about the project.
| Coordinator |
CONSORZIO UNIVERSITA INDUSTRIA - LABORATORI DI RADIOCOMUNICAZION I
Organization address contact info |
| Coordinator Country | Italy [IT] |
| Total cost | 1˙789˙318 € |
| EC max contribution | 1˙623˙960 € (91%) |
| Programme |
1. H2020-EU.2.1.6.3. (Enabling exploitation of space data) |
| Code Call | H2020-SPACE-EGNSS-2019 |
| Funding Scheme | IA |
| Starting year | 2020 |
| Duration (year-month-day) | from 2020-01-02 to 2022-01-01 |
Partnership
Take a look of project's partnership.
| # | ||||
|---|---|---|---|---|
| 1 | CONSORZIO UNIVERSITA INDUSTRIA - LABORATORI DI RADIOCOMUNICAZION I | IT (ROMA) | coordinator | 690˙000.00 |
| 2 | DEUTSCHES ZENTRUM FUER LUFT - UND RAUMFAHRT EV | DE (KOELN) | participant | 420˙625.00 |
| 3 | SOGEI-SOCIETA GENERALE D'INFORMATICA SPA | IT (ROMA) | participant | 163˙751.00 |
| 4 | ROBOAUTO S.R.O. | CZ (BRNO) | participant | 140˙709.00 |
| 5 | UNIVERZITA PARDUBICE | CZ (PARDUBICE) | participant | 127˙500.00 |
| 6 | KENTRO KAINOTOMON TECHNOLOGION AE | EL (ATHINA) | participant | 81˙375.00 |
Map
Project 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.
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The information about "HELMET" are provided by the European Opendata Portal: CORDIS opendata.
