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dc.contributor.author Kim, Yoon-Gu -
dc.contributor.author An, Jinung -
dc.contributor.author Lee, Ki-Dong -
dc.date.accessioned 2021-04-26T08:02:53Z -
dc.date.available 2021-04-26T08:02:53Z -
dc.date.created 2018-03-29 -
dc.date.issued 2011-09 -
dc.identifier.citation International Journal of Advanced Robotic Systems, v.8, no.4, pp.203 - 211 -
dc.identifier.issn 1729-8814 -
dc.identifier.uri http://hdl.handle.net/20.500.11750/13414 -
dc.description.abstract In this paper, we propose a robust and real-time localization method for dynamic environments based on a sensor network; the method combines landmark image information obtained from an ordinary camera and distance information obtained from sensor nodes in an indoor environment. The sensor network provides an effective method for a mobile robot to adapt to changes and guides it across a geographical network area. To enhance the performance, we used a charge-coupled device (CCD) camera and artificial landmarks for self-localization. Experimental results showed that global localization can be achieved with high robustness and accuracy using the proposed localization method. -
dc.language English -
dc.publisher INTECH -OPEN ACCESS PUBLISHER -
dc.title Localization of Mobile Robot Based on Fusion of Artificial Landmark and RF TDOA Distance under Indoor Sensor Network -
dc.type Article -
dc.identifier.doi 10.5772/45698 -
dc.identifier.wosid 000296190100022 -
dc.identifier.scopusid 2-s2.0-84868132911 -
dc.type.local Article(Overseas) -
dc.type.rims ART -
dc.description.journalClass 1 -
dc.citation.publicationname International Journal of Advanced Robotic Systems -
dc.contributor.nonIdAuthor Kim, Yoon-Gu -
dc.contributor.nonIdAuthor Lee, Ki-Dong -
dc.identifier.citationVolume 8 -
dc.identifier.citationNumber 4 -
dc.identifier.citationStartPage 203 -
dc.identifier.citationEndPage 211 -
dc.identifier.citationTitle International Journal of Advanced Robotic Systems -
dc.description.isOpenAccess Y -
dc.subject.keywordAuthor Artificial landmark -
dc.subject.keywordAuthor mobile robot -
dc.subject.keywordAuthor localization -
dc.subject.keywordAuthor sensor network -
dc.subject.keywordAuthor TDOA -
dc.contributor.affiliatedAuthor Kim, Yoon-Gu -
dc.contributor.affiliatedAuthor An, Jinung -
dc.contributor.affiliatedAuthor Lee, Ki-Dong -
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Division of Intelligent Robot Brain Robot Augmented InteractioN(BRAIN) Laboratory 1. Journal Articles

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