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Sensor Fusion and Error Compensation Algorithm for Pedestrian Navigation System

DC Field Value Language
dc.contributor.authorCho, Seong Yun-
dc.contributor.authorPark, Chan Gook-
dc.contributor.authorYim, Hwa Young-
dc.date.accessioned2009-10-06-
dc.date.available2009-10-06-
dc.date.issued2003-
dc.identifier.citationICCAS, 2003.en
dc.identifier.urihttps://hdl.handle.net/10371/10176-
dc.description.abstractThis paper presents the pedestrian navigation algorithm and the error compensation filter. The pedestrian navigation system (PNS) consists of the MEMS inertial sensors, the fluxgate, and the small-size GPS receiver. PNS calculates the navigational information using the signal patterns of the accelerometers. And the navigational information is completed by integration of the patterns, the fluxgate, and the GPS information. In general, PNS can provide the better solution than the low-cost inertial navigation system.en
dc.description.sponsorshipACRC/ADDen
dc.language.isoen-
dc.subjectpedestrian navigationen
dc.subjectstep detectionen
dc.subjectstep length estimationen
dc.subjectazimuth calculationen
dc.subjectPNS/GPSen
dc.titleSensor Fusion and Error Compensation Algorithm for Pedestrian Navigation Systemen
dc.typeConference Paperen
dc.contributor.AlternativeAuthor조성윤-
dc.contributor.AlternativeAuthor박찬국-
dc.contributor.AlternativeAuthor임화영-
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