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.