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TRIMIS

InDrive : Automotive EGNSS Receiver for High Integrity Applications on the Drive

PROJECTS
Funding
European
European Union
Duration
-
Status
Complete
Geo-spatial type
Other
Total project cost
€2 921 125
EU Contribution
€2 435 312
Project website
Project Acronym
InDrive
STRIA Roadmaps
Connected and automated transport (CAT)
Network and traffic management systems (NTM)
Transport mode
Road icon
Transport policies
Digitalisation,
Deployment planning/Financing/Market roll-out
Transport sectors
Passenger transport,
Freight transport

Overview

Link to CORDIS
Background & Policy context

InDRIVE will demonstrate the future use of mass-market GNSS, targeting automotive applications with high demands for integrity by creating a framework that specifies the requirements for data acquisition, signal tracking and data fusion in order to guarantee the proper handling of positioning data. This approach introduces an innovative integrity framework, allowing the applications to comply with their specified false alarm rates.
InDRIVE will target several applications in the area of Advanced Driver Assistance Systems (ADAS) and future Intelligent Transportation Systems (ITS) based on different positioning requirements. Both connected and non connected vehicles will be considered.

Objectives

The main objective of this project is to develop and demonstrate innovative close-to-market applications, which are heavily relying on accurate and high integrity satellite navigation. To achieve the full potential of advanced satellite positioning, an integrated solution starting from low-level signal processing to high-level data fusion will be proposed to get a continuous probabilistic positioning of high integrity.

Methodology

The innovation of this project stands in the adoption the EGNSS localization for automated manoeuvres in automotive applications: EGNSS will be used not only for positioning but also to estimate the confidence of the position. In order to meet the requirements for each use case, a new technology will be introduced for the computation of confidence.
As a result, the solution will guarantee the compliance of the use cases in terms of false alarm rates and accuracy.
In practice three areas will be defined (red, yellow and green): within the red area, safety critical applications (as emergency breaking) will operate. The extension to the yellow area will meet the requirements for warning based applications with lower time to collision demands. The green area represents the informative applications, like traffic or weather information.
 

Funding

Parent Programmes
Funding Source
H2020-Galileo-2015-1

Partners

Lead Organisation
EU Contribution
€0
Partner Organisations
EU Contribution
€0

Technologies

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