Fusing image features and navigation system data for augmenting guiding information displays

Today´s navigation systems provide their guiding information using speech and a display with arrows or a map together with the car´s position. Recent advances in computer vision offer the ability to extract more detailed information about the environment and to combine it with navigation systems in order to offer the guiding information more intuitively. A system is presented which extracts the lanes using particle filters and a rule-base. The particle filters are triggered by the navigation system and the resulting lanes are used to overlay the video images with the guiding information from the navigation system at the corresponding position