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.
|Title of host publication||ICCAS 2015 - 2015 15th International Conference on Control, Automation and Systems, Proceedings|
|Publisher||Institute of Electrical and Electronics Engineers Inc.|
|Number of pages||4|
|Publication status||Published - 2015 Dec 23|
|Event||15th International Conference on Control, Automation and Systems, ICCAS 2015 - Busan, Korea, Republic of|
Duration: 2015 Oct 13 → 2015 Oct 16
|Name||ICCAS 2015 - 2015 15th International Conference on Control, Automation and Systems, Proceedings|
|Other||15th International Conference on Control, Automation and Systems, ICCAS 2015|
|Country||Korea, Republic of|
|Period||15/10/13 → 15/10/16|
Bibliographical notePublisher Copyright:
© 2015 Institute of Control, Robotics and Systems - ICROS.
All Science Journal Classification (ASJC) codes
- Control and Systems Engineering