Satellite and street maps matching method using iterative Closest Point

Jeong Min Kang, Jin Bae Park

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.

Original languageEnglish
Title of host publicationICCAS 2015 - 2015 15th International Conference on Control, Automation and Systems, Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages684-687
Number of pages4
ISBN (Electronic)9788993215090
DOIs
Publication statusPublished - 2015 Dec 23
Event15th International Conference on Control, Automation and Systems, ICCAS 2015 - Busan, Korea, Republic of
Duration: 2015 Oct 132015 Oct 16

Publication series

NameICCAS 2015 - 2015 15th International Conference on Control, Automation and Systems, Proceedings

Other

Other15th International Conference on Control, Automation and Systems, ICCAS 2015
CountryKorea, Republic of
CityBusan
Period15/10/1315/10/16

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering

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