Automatic road feature detection and correlation for the correction of consumer satellite navigation system mapping

This paper presents a novel approach for the use of on-vehicle video analysis aimed at the verification and correction of consumer satellite navigation system mapping information. The proposed system automatically detects road and environment features (e.g. flyover bridges, road junctions, traffic lights and road signs) for real-time comparison to information available from corresponding navigation mapping. This can be used both for secondary feature-based localization of vehicle position and the verification of roadway mapping information against the true environment.