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Cited 3 time in webofscience Cited 3 time in scopus
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Clearance-Based Performance-Efficient Path Planning Using Generalized Voronoi Diagram

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dc.contributor.authorLee, JunTak-
dc.contributor.authorKang, Tae-Won-
dc.contributor.authorChoi, Yong-Sik-
dc.contributor.authorJung, Jin-Woo-
dc.date.accessioned2024-08-08T14:00:29Z-
dc.date.available2024-08-08T14:00:29Z-
dc.date.issued2023-09-
dc.identifier.issn1598-2645-
dc.identifier.issn2093-744X-
dc.identifier.urihttps://scholarworks.dongguk.edu/handle/sw.dongguk/22745-
dc.description.abstractThe Voronoi diagram is one of the most well-known methods in clearance-based pathfinding. The generalized Voronoi diagram, which is derived from the Voronoi diagram, accepts a polygon as input. This study proposes a method for generating and simplifying a generalized Voronoi diagram. A generalized Voronoi diagram is generated by creating a Voronoi diagram with points representing polygons. The Douglas-Peucker line simplification algorithm is used to simplify the diagram, and the A-star algorithm is used to determine the optimal path. By comparing the simplified and non-simplified versions, we determine that the simplifying process decreases the run time while preserving most of the clearance; however, the distance inefficiency of the Voronoi diagram is not overcome. Additional research is required to determine a more distance-efficient path. © The Korean Institute of Intelligent Systems-
dc.format.extent11-
dc.language영어-
dc.language.isoENG-
dc.publisher한국지능시스템학회-
dc.titleClearance-Based Performance-Efficient Path Planning Using Generalized Voronoi Diagram-
dc.typeArticle-
dc.publisher.location대한민국-
dc.identifier.doi10.5391/IJFIS.2023.23.3.259-
dc.identifier.scopusid2-s2.0-85172231973-
dc.identifier.wosid001108675900004-
dc.identifier.bibliographicCitationInternational Journal of Fuzzy Logic and Intelligent Systems, v.23, no.3, pp 259 - 269-
dc.citation.titleInternational Journal of Fuzzy Logic and Intelligent Systems-
dc.citation.volume23-
dc.citation.number3-
dc.citation.startPage259-
dc.citation.endPage269-
dc.type.docTypeArticle-
dc.identifier.kciidART002997846-
dc.description.isOpenAccessY-
dc.description.journalRegisteredClassscopus-
dc.description.journalRegisteredClassesci-
dc.description.journalRegisteredClasskci-
dc.relation.journalResearchAreaComputer Science-
dc.relation.journalWebOfScienceCategoryComputer Science, Theory & Methods-
dc.subject.keywordAuthorA-star algorithm-
dc.subject.keywordAuthorDP algorithm-
dc.subject.keywordAuthorGeneralized Voronoi diagram-
dc.subject.keywordAuthorPath finding-
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