Distinction of wet road surface condition at night using texture features

The necessity of distinguishing the road surface condition at night time is increasing because most of the previously proposed methods correspond only to daytime. In this paper, we propose a method of distinguishing road surface condition using only video information acquired from a visible surveillance video camera. The feature of this method is that it simply uses automobile headlights as the light source. Thus it becomes possible to distinguish between road surface conditions, such as dry and wet, with high accuracy using this method.