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Integration of Foot-Mounted Inertial Sensors into a Bayesian Location Estimation Framework

Krach, Bernhard and Robertson, Patrick (2007) Integration of Foot-Mounted Inertial Sensors into a Bayesian Location Estimation Framework. In: In Proc. WPNC 2008. WPNC 2008, 2008-3-27, Hannover.

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Abstract

An algorithm for integrating foot-mounted inertial sensors into a Bayesian location estimation framework is presented. The proposed integration scheme is based on a cascaded estimation architecture. A lower Kalman filter is used to estimate the step-wise change of position and direction of the foot. These estimates are used in turn as measurements in an upper particle filter, which is able to incorporate nonlinear map-matching techniques. Experimental data is used to verify the proposed algorithm.

Item URL in elib:https://elib.dlr.de/53764/
Document Type:Conference or Workshop Item (Paper)
Title:Integration of Foot-Mounted Inertial Sensors into a Bayesian Location Estimation Framework
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Krach, BernhardUNSPECIFIEDUNSPECIFIED
Robertson, PatrickUNSPECIFIEDUNSPECIFIED
Date:2007
Journal or Publication Title:In Proc. WPNC 2008
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Status:Published
Keywords:Pedestrian navigation, indoor navigation, inertial systems, map matching
Event Title:WPNC 2008
Event Location:Hannover
Event Type:international Conference
Event Dates:2008-3-27
HGF - Research field:Aeronautics, Space and Transport (old)
HGF - Program:Space (old)
HGF - Program Themes:W KN - Kommunikation/Navigation
DLR - Research area:Space
DLR - Program:W KN - Kommunikation/Navigation
DLR - Research theme (Project):W - Vorhaben GNSS2/Neue Dienste und Produkte (old)
Location: Oberpfaffenhofen
Institutes and Institutions:Institute of Communication and Navigation > Communications Systems
Deposited By: Robertson, Dr.-Ing. Patrick
Deposited On:01 Dec 2008
Last Modified:31 Jul 2019 19:21

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