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dc.contributor.author최병욱-
dc.date.accessioned2018-04-13T09:31:35Z-
dc.date.available2018-04-13T09:31:35Z-
dc.date.issued2011-12-
dc.identifier.citationCOMMUNICATIONS IN COMPUTER AND INFORMATION SCIENCE, 2011, 261, P.293-299en_US
dc.identifier.issn1865-0929-
dc.identifier.urihttps://link.springer.com/chapter/10.1007/978-3-642-27180-9_36-
dc.identifier.urihttp://hdl.handle.net/20.500.11754/65887-
dc.description.abstractIn robotics, the kidnapped robot problem commonly refers to a situation where an autonomous robot in operation is carried to an arbitrary location[1]. This is a very serious issue, and because the robot only computes its position in accordance with mathematical models, it is difficult to determine whether or not its position is being accurately reported. In this paper, to solve the kidnapped-robot problem, we suggest a method of automatic detection and recovery, using the entropy extracted from measurement likelihoods in our own technique of semantic localization. We verify the usefulness of the proposed procedure via repeated indoor localization experiments.en_US
dc.language.isoenen_US
dc.publisherSpringer Science and Business Mediaen_US
dc.subjectMobile Roboten_US
dc.subjectMeasurement Entropyen_US
dc.subjectSingle Cameraen_US
dc.subjectRobot Locationen_US
dc.subjectMeasurement Likelihooden_US
dc.titleDetection and Recovery for Kidnapped-robot Problem Using Measurement Entropyen_US
dc.typeArticleen_US
dc.relation.volume261-
dc.identifier.doi10.1007/978-3-642-27180-9_36-
dc.relation.page293-299-
dc.relation.journalCOMMUNICATIONS IN COMPUTER AND INFORMATION SCIENCE-
dc.contributor.googleauthorChuho, Yi-
dc.contributor.googleauthorByung-Uk, Choi-
dc.relation.code2012222937-
dc.sector.campusS-
dc.sector.daehakCOLLEGE OF ENGINEERING[S]-
dc.sector.departmentDEPARTMENT OF COMPUTER SCIENCE-
dc.identifier.pidbuchoi-
Appears in Collections:
COLLEGE OF ENGINEERING[S](공과대학) > COMPUTER SCIENCE(컴퓨터소프트웨어학부) > Articles
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