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TRIMIS

Low Cost GNSS and Computer Vision Fusion for Accurate Lane Level Navigation and Enhanced Automatic Map Generation

PROJECTS
Funding
European
European Union
Duration
-
Status
Complete
Geo-spatial type
Other
Total project cost
€3 281 029
EU Contribution
€2 642 936
Project website
Project Acronym
inLane : Lane Navigation Technology
STRIA Roadmaps
Connected and automated transport (CAT)
Network and traffic management systems (NTM)
Transport mode
Road icon
Transport policies
Societal/Economic issues
Transport sectors
Passenger transport

Overview

Link to CORDIS
Background & Policy context

inLane’s vision is to develop a low-cost, lane-level, precise turn-by-turn navigation application through the fusion of EGNSS and Computer Vision technology.

We envision a new generation of enhanced mapping information, made possible by real-time updates based on crowdsourcing techniques, which will result in lane-level vehicle positioning to take navigation to a new level of detail and effectiveness.

 

Objectives

The project aims to:

- Deliver lane-level information to an in-vehicle navigation system giving drivers the opportunity to select the optimal road lane, even if the is dense urban and extra-urban traffic.

- Reduce the risk associated with last moment lane-change manoeuvres.

- Enable a new generation of enhanced mapping information based on crowd sourcing.

 

Funding

Parent Programmes
Funding Source
funding from the European GNSS Agency under the European Union’s Horizon 2020 innovation programme under grant agreement No 687458

Documents

Partners

Lead Organisation
EU Contribution
€639 375
Partner Organisations
Organisation
Technische Universiteit Eindhoven
Address
Den Dolech, 5612 AZ Eindhoven, Netherlands
EU Contribution
€396 768

Technologies

Technology Theme
Connected and automated vehicles
Technology
Autonomous vehicle technologies

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