Particle Filter Based Algorithm for Personal Tracking

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F10%3APU88672" target="_blank" >RIV/00216305:26220/10:PU88672 - isvavai.cz</a>

Result on the web

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DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Particle Filter Based Algorithm for Personal Tracking

Original language description

This paper deals with personal localization and tracking. Particle filter is the backbone of our algorithm. This filter is fusing the system dynamics model dead reckoning solution based on pedometer and velocity motion model with a maximum likelihood estimator (MLE) output. MLE uses the range measurements (received signal strength methodology) and the infrastructure of reference nodes with known position.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

BC - Theory and management systems

OECD FORD branch

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Project

<a href="/en/project/GD102%2F09%2FH081" target="_blank" >GD102/09/H081: SYNERGY - Mobile Sensoric Systems and Networks</a><br>

Continuities

Z - Vyzkumny zamer (s odkazem do CEZ)

Publication year

2010

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

Annals of Daaam for 2009 & Proceedings

ISBN

978-3-901509-73-5

ISSN

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e-ISSN

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Number of pages

2

Pages from-to

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Publisher name

DAAAM International Viena

Place of publication

TU Wien, Karlsplatz 13/311, A-1040 Vienna, Austr

Event location

Zadar

Event date

Oct 20, 2010

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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