Hola,
Are you new here?

INLANE

financed

Low Cost GNSS and Computer Vision Fusion for Accurate Lane Level Navigation and...

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

30/06/2018

VICOMTECH

3M€

Project Budget: 3M€

Project leader

FUNDACION CENTRO DE TECNOLOGIAS DE INTERACCIO... No se ha especificado una descripción o un objeto social para esta compañía.

TRL 2-3 | 8M€

PARTICIPATION DEPralty Sin fecha límite de participación.

Ver 12 Participantes

Financing granted El organismo H2020 notifico la concesión del proyecto The day 2018-06-30

GALILEO-1-2015: EGNSS applications Scope:Specific challenge: European society and industry are facing new challenges, requiring more in...

I+D

Cerrada does 10 years

0% 81% 100%

characteristics of the participant

Este proyecto no cuenta con búsquedas de partenariado abiertas en este momento.

Private Information

No hay información privada compartida para este proyecto. Habla con el coordinador.

12 Participantes

VICOMTECH

639.38K€ | Leader

IMI BCN

66.56K€ | participant

TELE ATLAS

251.16K€ | participant

IMC

236.25K€ | participant

Conecta tu I+D

¿Tienes un proyecto y buscas un partner? Gracias a nuestro motor inteligente podemos recomendarte los mejores socios y ponerte en contacto con ellos. Te lo explicamos en este video

Project duration: 30 months Date Start: 2015-12-01
End date: 2018-06-30

Project leader

FUNDACION CENTRO DE TECNOLOGIAS DE INTERACCIO... No se ha especificado una descripción o un objeto social para esta compañía.

TRL 2-3 | 8M€

Project Budget 3M€

participation deadline Sin fecha límite de participación.

Project description 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.

Conecta tu I+D

Entra hoy

Forgot your password?

Financing

Companies

CTIs/Universidades

Projects

researchers