DSpace at KISTKIST Conference Paper2017

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dc.contributor.authorShin Beom Ju-
dc.contributor.authorBoseon Yu-
dc.contributor.authorBANG JAE WON-
dc.contributor.authorChangdon Kee-
dc.contributor.authorLee Taikjin-
dc.date.accessioned2024-01-12T06:13:16Z-
dc.date.available2024-01-12T06:13:16Z-
dc.date.created2021-09-29-
dc.date.issued2017-09-
dc.identifier.issn2331-5911-
dc.identifier.urihttps://pubs.kist.re.kr/handle/201004/79486-
dc.description.abstractIn this research, we present the SLAM implementation based on WiFi and pedestrian dead reckoning (PDR) using smartphone in the indoor environment. To find a WiFi similarity, new method, surface correlation, is applied. We identify that the surface correlation method finds accurate WiFi similarity even in a weak WiFi environment.-
dc.languageEnglish-
dc.publisherINST NAVIGATION-
dc.subjectnavigation-
dc.titleWiFi and PDR based Robust SLAM Implementation using Surface Correlation-
dc.typeConference-
dc.description.journalClass1-
dc.identifier.bibliographicCitation30th International Technical Meeting of The Satellite-Division-of-the-Institute-of-Navigation (ION GNSS+), pp.3285 - 3288-
dc.citation.title30th International Technical Meeting of The Satellite-Division-of-the-Institute-of-Navigation (ION GNSS+)-
dc.citation.startPage3285-
dc.citation.endPage3288-
dc.citation.conferencePlaceUS-
dc.citation.conferenceDate2017-09-25-
dc.relation.isPartOfPROCEEDINGS OF THE 30TH INTERNATIONAL TECHNICAL MEETING OF THE SATELLITE DIVISION OF THE INSTITUTE OF NAVIGATION (ION GNSS+ 2017)-
dc.identifier.wosid000419292303021-
dc.identifier.scopusid2-s2.0-85047874119-
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