elib
DLR-Header
DLR-Logo -> http://www.dlr.de
DLR Portal Home | Imprint | Privacy Policy | Contact | Deutsch
Fontsize: [-] Text [+]

Continuous location and direction estimation with multiple sensors using particle filtering

Wendlandt, Kai and Khider, Mohammed and Angermann, Michael and Robertson, Patrick (2006) Continuous location and direction estimation with multiple sensors using particle filtering. In: Proceedings of the International Conference in Multisensor Fusion and Integration for Intelligent Systems. IEEE Verlag. MFI 2006, 2006-09-04 - 2006-09-06, Heidelberg, Germany. ISBN 1-4244-0567-X

[img]
Preview
PDF
237kB

Abstract

In this paper we discuss the use of Particle Filtering to estimate the values of several state variables describing a user’s context. Since Particle Filtering algorithms are computationally efficient realizations of Bayesian Filters they perform exceptionally well to optimally combine the a priori knowledge stemming from behavioral models, such as movement models, and the noisy measurements from sensors. The estimate at each time step is obtained in the form of a probability density function that represents the entire information and quantifies the inherent uncertainty about the context. The concept has been realized in simulations and experiments. In this paper, the applied movement model is presented with simulated measurements from GPS and compass sensors to illustrate the concept.

Item URL in elib:https://elib.dlr.de/44240/
Document Type:Conference or Workshop Item (Speech, Paper)
Title:Continuous location and direction estimation with multiple sensors using particle filtering
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Wendlandt, KaiUNSPECIFIEDUNSPECIFIED
Khider, MohammedUNSPECIFIEDUNSPECIFIED
Angermann, MichaelUNSPECIFIEDUNSPECIFIED
Robertson, PatrickUNSPECIFIEDUNSPECIFIED
Date:6 September 2006
Journal or Publication Title:Proceedings of the International Conference in Multisensor Fusion and Integration for Intelligent Systems
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Editors:
EditorsEmail
IEEE, UNSPECIFIED
Publisher:IEEE Verlag
Series Name:Library of Congress: 2006930785
ISBN:1-4244-0567-X
Status:Published
Keywords:Mobility, movement model, context sensitive, GPS, compass, particle filtering, sensor fusion
Event Title:MFI 2006
Event Location:Heidelberg, Germany
Event Type:international Conference
Event Dates:2006-09-04 - 2006-09-06
Organizer:Universität Karlsruhe (TH) - Institute of Computer Science and Engineering
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 - Projekt GalileoNAV (old)
Location: Oberpfaffenhofen
Institutes and Institutions:Institute of Communication and Navigation > Communications Systems
Deposited By: Wendlandt, Kai
Deposited On:22 Sep 2006
Last Modified:31 Jul 2019 19:17

Repository Staff Only: item control page

Browse
Search
Help & Contact
Information
electronic library is running on EPrints 3.3.12
Copyright © 2008-2017 German Aerospace Center (DLR). All rights reserved.