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PRoPART

Financiado

Cerrado

Precise and Robust Positioning for Automated Road Transports

The objective of the project ‘PRoPART’ is the development and demonstration of a high availability positioning solution for connected automated driving applications. It aims to develop and enhance an existing RTK (Real Time Kinema... ver más

30/11/2019

RISE

4M€

Presupuesto del proyecto: 4M€

Líder del proyecto

RISE RESEARCH INSTITUTES OF SWEDEN AB 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 9 Participantes

Financiación concedida El organismo H2020 notifico la concesión del proyecto el día 2019-11-30

GALILEO-1-2017: EGNSS Transport applications

I+D

Cerrada hace 7 años

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Información adicional privada

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

9 Participantes

RISE

682.78K€ | Lider

COMMSIGNIA Kft.

277.38K€ | Participante

SCANIA CV AB

405.98K€ | Participante

Fraunhofer

633.90K€ | Participante

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Duración del proyecto: 24 meses Fecha Inicio: 2017-11-21
Fecha Fin: 2019-11-30

Líder del proyecto

RISE RESEARCH INSTITUTES OF SWEDEN AB No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Presupuesto del proyecto 4M€

Fecha límite de participación Sin fecha límite de participación.

Descripción del proyecto The objective of the project ‘PRoPART’ is the development and demonstration of a high availability positioning solution for connected automated driving applications. It aims to develop and enhance an existing RTK (Real Time Kinematic) software solution developed by Flowscape, by exploiting the distinguished features of Galileo signals as well as combining it with other positioning and sensor technologies. Besides the use of vehicle on board sensors, ‘PRoPART’ will also use a low-cost Ultra Wideband (UWB) ranging solution for redundancy and robustness in areas where the coverage of GNSS is poor e.g. in tunnels or in urban canyons. In order to define the correct requirements for the PRoPART combined positioning solution, a cooperative automated vehicle application will be defined and developed. The vehicle application will rely on the high availability positioning solution and use it to couple its ADAS system with V2X and aggregate information received from other connected vehicles and Road Side Units (RSU). As there will be a transition period where a lot of vehicles are neither connected nor automated, solutions having high impact during low penetration are in focus. Therefore ‘PRoPART’ will implement an RSU with high precision positioning and use both UWB as well as a traffic monitoring to supply ranging, object perception and EGNSS RTK correction data via ETSI ITS-G5 to the connected automated vehicle so it can make safe decisions based on robust data. This means that ‘PRoPART’ also will implement perception layer sensor fusion that uses information collected in the LDM (Local Dynamic Map) as well as information from both the on board vehicle sensors and the high availability positioning solution. We will also exploit possibilities to distribute EGNSS RTK correction data from the RSU to the vehicle.

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