DC Field | Value | Language |
---|---|---|
dc.contributor.author | Cho, Sungwook | ko |
dc.contributor.author | Shim, David Hyunchul | ko |
dc.date.accessioned | 2017-08-16T08:53:58Z | - |
dc.date.available | 2017-08-16T08:53:58Z | - |
dc.date.created | 2016-12-13 | - |
dc.date.created | 2016-12-13 | - |
dc.date.created | 2016-12-13 | - |
dc.date.issued | 2017-02 | - |
dc.identifier.citation | Journal of Institute of Control, Robotics and Systems, v.23, no.2, pp.89 - 95 | - |
dc.identifier.issn | 1976-5622 | - |
dc.identifier.uri | http://hdl.handle.net/10203/225351 | - |
dc.description.abstract | In this paper, we propose a coarse-to-fine approach-based automatic clustering algorithm for precision reconnaissance and surveillance. In order to improve the strengths and compensate for the weaknesses of the basic sequential algorithm and K-means clustering algorithm (the first one is simple to implement but may generate significant noise, whereas the second one returns precise results although the number of clusters needs to be known in advance), the proposed algorithm was developed by fusing them. It was validated and verified in a MATLAB simulation and embedded processing. As a result, it can be used to shrink the data effectively in a large dataset. | - |
dc.language | Korean | - |
dc.publisher | Institute of Control, Robotics and Systems | - |
dc.subject | MATLAB | - |
dc.subject | Unmanned aerial vehicles (UAV) | - |
dc.subject | Automatic clustering | - |
dc.subject | Automatic clustering algorithm | - |
dc.subject | Clustering | - |
dc.subject | Embedded processing | - |
dc.subject | K-Means clustering algorithm | - |
dc.subject | Matlab simulations | - |
dc.subject | Pointcloud | - |
dc.subject | Sequential algorithm | - |
dc.subject | Clustering algorithms | - |
dc.title | Automatic Clustering for Precision Reconnaissance and Surveillance | - |
dc.title.alternative | 정밀 감시정찰을 위한 자동 군집화 기법 개발 | - |
dc.type | Article | - |
dc.identifier.scopusid | 2-s2.0-85012237783 | - |
dc.type.rims | ART | - |
dc.citation.volume | 23 | - |
dc.citation.issue | 2 | - |
dc.citation.beginningpage | 89 | - |
dc.citation.endingpage | 95 | - |
dc.citation.publicationname | Journal of Institute of Control, Robotics and Systems | - |
dc.identifier.doi | 10.5302/J.ICROS.2017.16.0202 | - |
dc.identifier.kciid | ART002194110 | - |
dc.contributor.localauthor | Shim, David Hyunchul | - |
dc.description.isOpenAccess | N | - |
dc.type.journalArticle | Article | - |
dc.subject.keywordAuthor | Clustering | - |
dc.subject.keywordAuthor | Pointcloud | - |
dc.subject.keywordAuthor | Vision-enabled unmanned aerial vehicle (UAV) | - |
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