This works describes an approach to lane-precise localization on current digital maps. A
particle filter fuses data from production vehicle sensors such as GPS radar and camera.
Performance evaluations on more than 200 km of data show that the proposed algorithm can
reliably determine the current lane. Furthermore a possible architecture for an intuitive
route guidance system based on Augmented Reality is proposed together with a lane-change
recommendation for unclear situations.
