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Rescan Strategy for Time Efficient View and Path Planning in Automated Inspection System

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dc.contributor.authorKwon, Hoon-
dc.contributor.authorNa, Minwoo-
dc.contributor.authorSong, Jae-Bok-
dc.date.accessioned2021-09-01T05:02:16Z-
dc.date.available2021-09-01T05:02:16Z-
dc.date.created2021-06-18-
dc.date.issued2019-10-
dc.identifier.issn2234-7593-
dc.identifier.urihttps://scholar.korea.ac.kr/handle/2021.sw.korea/62702-
dc.description.abstractIn 3D robotic inspection systems, view planning and path planning are important to minimize the operation time of the system. In this study, an automated inspection system is proposed that consists of a structured light scanner, a collaborative robot, and a rotary table. In addition, a rescan strategy algorithm is proposed that can minimize the operation time of the system and enhance the reliability of the inspection task. This algorithm uses a small number of viewpoints for view planning by selecting an area to be rescanned. At the same time, path planning with the rotation and alignment of viewpoints using a rotary table make it possible to reduce the scanning time. Experimental results on various objects have verified that the proposed method can be applied to the 3D quality inspection task with a reasonable operation time.-
dc.languageEnglish-
dc.language.isoen-
dc.publisherKOREAN SOC PRECISION ENG-
dc.subjectSENSOR PLACEMENT-
dc.subjectVISION-
dc.subjectREGISTRATION-
dc.subjectACQUISITION-
dc.subjectALIGNMENT-
dc.titleRescan Strategy for Time Efficient View and Path Planning in Automated Inspection System-
dc.typeArticle-
dc.contributor.affiliatedAuthorSong, Jae-Bok-
dc.identifier.doi10.1007/s12541-019-00186-x-
dc.identifier.scopusid2-s2.0-85069530711-
dc.identifier.wosid000486197900009-
dc.identifier.bibliographicCitationINTERNATIONAL JOURNAL OF PRECISION ENGINEERING AND MANUFACTURING, v.20, no.10, pp.1747 - 1756-
dc.relation.isPartOfINTERNATIONAL JOURNAL OF PRECISION ENGINEERING AND MANUFACTURING-
dc.citation.titleINTERNATIONAL JOURNAL OF PRECISION ENGINEERING AND MANUFACTURING-
dc.citation.volume20-
dc.citation.number10-
dc.citation.startPage1747-
dc.citation.endPage1756-
dc.type.rimsART-
dc.type.docTypeArticle-
dc.identifier.kciidART002514762-
dc.description.journalClass1-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.description.journalRegisteredClasskci-
dc.relation.journalResearchAreaEngineering-
dc.relation.journalWebOfScienceCategoryEngineering, Manufacturing-
dc.relation.journalWebOfScienceCategoryEngineering, Mechanical-
dc.subject.keywordPlusSENSOR PLACEMENT-
dc.subject.keywordPlusVISION-
dc.subject.keywordPlusREGISTRATION-
dc.subject.keywordPlusACQUISITION-
dc.subject.keywordPlusALIGNMENT-
dc.subject.keywordAuthorActive vision-
dc.subject.keywordAuthorModel-based robotic inspection-
dc.subject.keywordAuthorView planning-
dc.subject.keywordAuthorPath planning-
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