Satellite and street maps matching method using iterative Closest Point

This paper proposes a satellite and street maps matching by using Iterative Closest Point (ICP) algorithm. The proposed method is two data point sets matching extracted from maps. First, we extract the feature points from a map. Second, we consist of input data set from feature points, and then take the center of mass transformation process. Finally, map matching is performed with two data point sets. The ICP algorithm is used as a matching method. The error results of the rotation and translation will be compared with original input values. The effectiveness of the proposed method is verified by various simulations.