Road marking recognition for map generation using sparse tensor voting

A recognition method of road markings for map generation is presented. For accurate position estimation and classification, two voting schemes are proposed and combined. The first is multi-frame sparse tensor voting for geometric feature extraction, and the second is contour localization using the resulting tensor field. Classification is based on the similarity between the aligned contour and the tensor field. The experimental results show that the proposed method outperforms conventional matching-based approaches.