A video-based lane keeping assistant

We propose a lane keeping assistance system which warns the driver of unintended lane departures. Based on an existing robust video-based lane detection algorithm we compare different methods to detect lane departure. A number of assumptions on driver behaviour in certain situations have been integrated to distinguish between intended and unintended lane departures. We integrated our lane keeping assistant in an experimental car and performed systematic experiments in real traffic situations.