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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.

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 Authors
Krach, Bernhard
Robertson, Patrick
Date:2007
Journal or Publication Title:In Proc. WPNC 2008
Status:Published
State of review:reviewed publication (not in Journal Citation Report)
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
HGF - Program:Space
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
Location:Oberpfaffenhofen
Institutes and Institutions:Institute of Communication and Navigation > Communications Systems
Deposited By:Dr.-Ing. Patrick Robertson
Deposited On:01 Dec 2008
Last Modified:14 Jan 2010 23:23

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