Recognition and attribution of variable message signs and lanes

Knowledge of the position of traffic signs, lanes and the own vehicle is needed to decide whether a sign applies to oneself. This paper describes a system capable of tracking lanes and recognizing speed limit signs, both static ones and variable message signs. In addition a probabilistic approach mapping detected signs to lanes is presented which is able to correctly attribute signs to lanes even at great distance. All information is extracted from a monocular video camera.