|Low Cost GNSS and Computer Vision Fusion for
Accurate Lane Level Navigation and Automatic Map Generation
|From 2016-01-01 to 2018-06-30||Ongoing|
|Official website []|
VRA, the network of automation
With the help of crowdsourced real-time updates, inLane foresees the generation of local dynamic maps (LDM) that help ADAS applications with enhanced dynamic scene information. 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 the case of dense urban and extra-urban traffic.
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.
- ERTICO ITS Europe
- Tom Tom
- Technical University of Eindhoven
- Honda Research Institute
Total Cost: € 3.281.028,75 / EU Contribution: € 2.642.935,88
Funded under the call: H2020-Galileo-2015-1
Topic: GALILEO-1-2015 - EGNSS Applications