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HELMET

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High integrity EGNSS Layer for Multimodal Eco friendly Transportation

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 sign... ver más

01/01/2023

RADIOLABS

2M€

Presupuesto del proyecto: 2M€

Líder del proyecto

CONSORZIO UNIVERSITA INDUSTRIA LABORATORI DI... No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Fecha límite participación Sin fecha límite de participación.

Ver 7 Participantes

Financiación concedida El organismo H2020 notifico la concesión del proyecto el día 2023-01-01

LC-SPACE-EGNSS-1-2019-2020: EGNSS applications fostering green,... Specific Challenge:The specific challenge of this topic is to develop innovative EGNSS based applica...

I+D

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0% 91% 100%

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Este proyecto no cuenta con búsquedas de partenariado abiertas en este momento.

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No hay información privada compartida para este proyecto. Habla con el coordinador.

7 Participantes

RADIOLABS

690.00K€ | Lider

LUXINTEC

247.76K€ | Participante

SOGEI

163.75K€ | Participante

UNIVERZITA PARDUBICE

127.50K€ | Participante

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Duración del proyecto: 37 meses Fecha Inicio: 2019-11-25
Fecha Fin: 2023-01-01

Líder del proyecto

CONSORZIO UNIVERSITA INDUSTRIA LABORATORI DI... No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Presupuesto del proyecto 2M€

Fecha límite de participación Sin fecha límite de participación.

Descripción del proyecto 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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