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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. C⃝ 2014 Wiley Periodicals, Inc. Electron Comm Jpn, 97(6): 51-57, 2014; Published online in Wiley Online Library (wileyonlinelibrary.com).

The danger of causing serious traffic accidents at night-time is much higher than in the daytime. In this paper, we propose a distinction method of estimating road surface conditions by using only video information from a visible video camera. Compared to the conventional method, our innovative method provides the added benefit of the principal component analysis (PCA) of texture features and the reliability of the Mahalanobis distance. By using this method, it was possible to distinguish road surface conditions at night with high accuracy.

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