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INLANE SIGNED

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

Total Cost €

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EC-Contrib. €

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Partnership

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Project "INLANE" data sheet

The following table provides information about the project.

Coordinator
FUNDACION CENTRO DE TECNOLOGIAS DE INTERACCION VISUAL Y COMUNICACIONES VICOMTECH 

Organization address
address: PASEO MIKELETEGI PARQUE TECNOLOGICO DE MIRAMON 57
city: DONOSTIA SAN SEBASTIAN
postcode: 20009
website: www.vicomtech.org

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Spain [ES]
 Total cost 3˙281˙028 €
 EC max contribution 2˙642˙935 € (81%)
 Programme 1. H2020-EU.2.1.6. (INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies – Space)
 Code Call H2020-Galileo-2015-1
 Funding Scheme /IA
 Starting year 2016
 Duration (year-month-day) from 2016-01-01   to  2018-06-30

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    FUNDACION CENTRO DE TECNOLOGIAS DE INTERACCION VISUAL Y COMUNICACIONES VICOMTECH ES (DONOSTIA SAN SEBASTIAN) coordinator 639˙375.00
2    TECHNISCHE UNIVERSITEIT EINDHOVEN NL (EINDHOVEN) participant 396˙767.00
3    TeleConsult Austria GmbH AT (Graz) participant 349˙300.00
4    Honda Research Institute Europe GmbH DE (Offenbach/Main) participant 333˙375.00
5    TOMTOM INTERNATIONAL BV NL (AMSTERDAM) participant 305˙375.00
6    INTEL DEUTSCHLAND GMBH DE (NEUBIBERG) participant 236˙250.00
7    EUROPEAN ROAD TRANSPORT TELEMATICSIMPLEMENTATION COORDINATION ORGANISATION - INTELLIGENT TRANSPORT SYSTEMS & SERVICES EUROPE BE (BRUXELLES) participant 174˙160.00
8    AUTOMOBIL CLUB ASSISTENCIA SA ES (BARCELONA) participant 90˙423.00
9    INSTITUT MUNICIPAL D'INFORMATICA DE BARCELONA ES (BARCELONA) participant 66˙562.00
10    INSTITUT FRANCAIS DES SCIENCES ET TECHNOLOGIES DES TRANSPORTS, DE L'AMENAGEMENT ET DES RESEAUX FR (MARNE LA VALLEE CEDEX 2) participant 51˙347.00

Mappa

 Project objective

Lane-level positioning and map matching are some of the biggest challenges for navigation systems. Although vehicle telematics provide services with positioning requirements fulfilled by low-cost GNSS receivers, more complex road and driver assistance applications are increasingly been deployed, due to the growing demand. These include lane-level information as well as lane-level navigation and prioritised alerts depending on the scenario composition (traffic sign, navigation instructions, ADAS instructions). These applications need a more accurate and reliable positioning subsystem. A good example of these new requirements can be witnessed in the increasing interest in navigation at lane-level, with applications such as enhanced driver awareness, intelligent speed alert and simple lane allocation. As well as the accuracy of positioning data being a big driver, there is also a question around the adaptability of navigation systems to these applications. This depends firstly on the availability of an accurate common reference for positioning (an enhanced map) and secondly, on the level of the provided pose estimation (integrity). However, neither the current road maps nor the traditional integrity parameters seem to be well suited for these purposes. Delivering lane-level information to an in-vehicle navigation system and combining this with the opportunity for vehicles to exchange information between themselves, will give drivers the opportunity to select the optimal road lane, even in dense traffic in urban and extra-urban areas. Every driver will be able to choose the appropriate lane and will to be able to reduce the risks associate with last-moment lane-change manoeuvres. inLane proposes new generation, low-cost, lane-level, precise turn-by-turn navigation applications through the fusion of EGNSS and Computer Vision technology. This will enable a new generation of enhanced mapping information based on crowdsourcing.

 Work performed, outcomes and results:  advancements report(s) 

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The information about "INLANE" are provided by the European Opendata Portal: CORDIS opendata.

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