A robust road marking detection method with pseudo-top-view images for creating database

This paper presents a method to detect road markings on top-view road images, which are pseudo-top-view images created by transforming each frames in foreground drive videos under influence of difference of brightness caused by varying photography environment. Road markings in pseudo-top-view images appear differently due to the variation of shadow and markings´ line faded. Therefore, the recognition process of road markings is difficult in real environment. Our method used shadow detection and run-length compensation for robust recognition. Detected markings are registered to database for car navigation system, and then it will enable to sound a warning when approaching to a point of caution.