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We present in this article different algorithms designed for automatic road environment interpretation, from a large amount of data, acquired by embedded sensors. Road markings and traffic signs are extracted then interpreted by means of original image processing techniques whereas road geometry is computed through lidar range data analysis. The outputs of all these algorithms are gathered into a single tool, which manages a precise and global geographic database in order to produce advanced maps. These maps can further be used for intelligent navigation.