inLane : Lane Navigation Technology
Low Cost GNSS and Computer Vision Fusion for Accurate Lane Level Navigation and Enhanced Automatic Map Generation
- Cooperative, connected and automated transport, Network and traffic management systems
- Road transport
- Passenger transport
- Societal/Economic issues
- Other
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.
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.
- Public (EU)
o ERTICO ITS Europe
o Tom Tom
o Technical University of Eindhoven
o Honda Research Institute
o Intel
o IFFSTAR
o TeleConsult
o Vicomtech-IK4
o IMI
o ACASA
- Spain