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Financement de l’UE (2 642 936 €) : Fusion GNSS et vision par ordinateur à faible coût pour une navigation précise au niveau de la voie et une génération automatique de cartes améliorée Hor 01/01/2016 Programme de recherche et d'innovation de l'UE « Horizon »
Vue d’ensemble
Texte
Fusion GNSS et vision par ordinateur à faible coût pour une navigation précise au niveau de la voie et une génération automatique de cartes améliorée
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.
| Automobil Club Assistencia SA | 90 423 € |
| European Road Transport Telematics Implementation Coordination Organisation - Intelligent Transport Systems & Services Europe | 174 160 € |
| Fundacion Centro de Tecnologias de Interaccion Visual y Comunicaciones Vicomtech | 639 375 € |
| Honda Research Institute Europe GmbH | 333 375 € |
| Institut Municipal Barcelona Innovacio i Tecnologia | 66 563 € |
| Intel Deutschland GmbH | 236 250 € |
| OHB Austria GmbH | 349 300 € |
| Technische Universiteit Eindhoven | 396 768 € |
| Teleorbit GmbH | 0,00 € |
| Tomtom Global Content B.V. | 251 157 € |
| Tomtom International B.V. | 54 218 € |
| Universite Gustave Eiffel | 51 348 € |
https://cordis.europa.eu/project/id/687458
Cette annonce se réfère à une date antérieure et ne reflète pas nécessairement l’état actuel.