195 0

Full metadata record

DC FieldValueLanguage
dc.contributor.author이병주-
dc.date.accessioned2018-02-05T06:29:40Z-
dc.date.available2018-02-05T06:29:40Z-
dc.date.issued2015-10-
dc.identifier.citationINTELLIGENT SERVICE ROBOTICS, v. 8, No. 4, Page. 201-213en_US
dc.identifier.issn1861-2784-
dc.identifier.issn1861-2776-
dc.identifier.urihttps://link.springer.com/article/10.1007/s11370-015-0172-3-
dc.identifier.urihttp://hdl.handle.net/20.500.11754/35424-
dc.description.abstractThis study investigates indoor localization problem of robot or a customer at shopping mall environment. To improve the localization accuracy, a sensor fusion-based approach is employed, which combines data from ZigBee, odometry of active shopping cart (ASC), and QR marker. The proposed algorithm employs Gaussian probability estimation method and thus it is adaptive to localization problem even at noisy environment such as the shopping mall. To implement the localization service, an ASC which is equipped with motors for navigation, a laser sensor for tracking, and a tablet computer for human-computer interaction is designed. Through experimental work, we corroborate the feasibility of the proposed localization algorithms.en_US
dc.language.isoen_USen_US
dc.publisherSPRINGER HEIDELBERGen_US
dc.subjectLocalizationen_US
dc.subjectMobile roboten_US
dc.subjectActive shopping carten_US
dc.subjectZigBee wireless sensor networken_US
dc.subjectLOCATIONen_US
dc.subjectSYSTEMen_US
dc.subjectTRACKINGen_US
dc.titleASC localization in noisy environment based on wireless sensor networken_US
dc.typeArticleen_US
dc.relation.no4-
dc.relation.volume8-
dc.identifier.doi10.1007/s11370-015-0172-3-
dc.relation.page201-213-
dc.relation.journalINTELLIGENT SERVICE ROBOTICS-
dc.contributor.googleauthorGai, S-
dc.contributor.googleauthorOh, SM-
dc.contributor.googleauthorYi, BJ-
dc.relation.code2015007499-
dc.sector.campusE-
dc.sector.daehakCOLLEGE OF ENGINEERING SCIENCES[E]-
dc.sector.departmentDIVISION OF ELECTRICAL ENGINEERING-
dc.identifier.pidbj-
Appears in Collections:
COLLEGE OF ENGINEERING SCIENCES[E](공학대학) > ELECTRICAL ENGINEERING(전자공학부) > Articles
Files in This Item:
There are no files associated with this item.
Export
RIS (EndNote)
XLS (Excel)
XML


qrcode

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

BROWSE