PRoPART | Precise and Robust Positioning for Automated Road Transports

Summary
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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More information & hyperlinks
Web resources: https://cordis.europa.eu/project/id/776307
Start date: 01-12-2017
End date: 30-11-2019
Total budget - Public funding: 3 502 075,75 Euro - 2 968 128,00 Euro
Cordis data

Original description

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.

Status

CLOSED

Call topic

GALILEO-1-2017

Update Date

27-10-2022
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Horizon 2020
H2020-EU.2. INDUSTRIAL LEADERSHIP
H2020-EU.2.1. INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies
H2020-EU.2.1.6. INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies – Space
H2020-EU.2.1.6.1. Enabling European competitiveness, non-dependence and innovation of the European space sector
H2020-EU.2.1.6.1.2. Boost innovation between space and non-space sectors
H2020-GALILEO-GSA-2017-1
GALILEO-1-2017 EGNSS Transport applications
H2020-EU.2.1.6.3. Enabling exploitation of space data
H2020-GALILEO-GSA-2017-1
GALILEO-1-2017 EGNSS Transport applications
H2020-EU.3. SOCIETAL CHALLENGES
H2020-EU.3.4. SOCIETAL CHALLENGES - Smart, Green And Integrated Transport
H2020-EU.3.4.1. Resource efficient transport that respects the environment
H2020-EU.3.4.1.2. Developing smart equipment, infrastructures and services
H2020-GALILEO-GSA-2017-1
GALILEO-1-2017 EGNSS Transport applications
H2020-EU.3.4.2. Better mobility, less congestion, more safety and security
H2020-EU.3.4.2.2. Substantial improvements in the mobility of people and freight
H2020-GALILEO-GSA-2017-1
GALILEO-1-2017 EGNSS Transport applications