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TRIMIS

Precise and Robust Positioning for Automated Road Transports

PROJECTS
Funding
European
European Union
Duration
-
Status
Complete
Geo-spatial type
Other
Total project cost
€3 502 076
EU Contribution
€2 968 128
Project Acronym
PRoPART
STRIA Roadmaps
Connected and automated transport (CAT)
Transport mode
Road icon
Transport policies
Safety/Security
Transport sectors
Passenger transport,
Freight transport

Overview

Link to CORDIS
Objectives

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.

Funding

Parent Programmes
Institution Type
Public institution
Institution Name
European Commission
Type of funding
Public (EU)
Specific funding programme
H2020-EU.3.4.2.2.
H2020-EU.3.4.1.2.
H2020-EU.2.1.6.3.
H2020-EU.2.1.6.1.2.

Partners

Lead Organisation
Organisation
Rise Research Institutes Of Sweden
Address
Scheelevägen 27, 22370 Lund, Sweden
EU Contribution
€682 785
Partner Organisations
Organisation
Commsignia Kft
Address
BUDAPEST, 7252 ATTALA SZECHENYI UTCA 14, 1092, Hungary
EU Contribution
€277 375
Organisation
Scania Cv Ab
Address
Vagnmakarvagen 1, 15187 Sodertalje, Sweden
Organisation website
EU Contribution
€405 978
Organisation
Fraunhofer Gesellschaft Zur Foerderung Der Angewandten Forschung E.v.
Address
HANSASTRASSE 27C, 80686 MUNCHEN, Germany
Organisation website
EU Contribution
€633 900
Organisation
Baselabs Gmbh
Address
TECHNOLOGIE-CAMPUS 6, 09126 CHEMNITZ, Germany
EU Contribution
€231 875
Organisation
Flowscape Ab
Address
ARNE BEURLINGS TORG 9A, 164 40 KISTA, Sweden
EU Contribution
€330 649
Organisation
Asociacion Centro Tecnologico Ceit
Address
PASEO MANUEL DE LARDIZABAL 15, 20018 SAN SEBASTIAN, Spain
Organisation website
EU Contribution
€405 566

Technologies

Technology Theme
Advanced driver assistance systems
Technology
ADAS and automated driving platform
Development phase
Research/Invention

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