Adaptive Motion Model for a Smart Phone Based Opportunistic Localization System

Localization systems will evolve towards autonomous system which will use any useful information provided by mobile devices taking the hardware specification and environmental limitations into account. This paper demonstrates the concept of opportunistic localization using a smart phone with the...

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Main Author: Widyawan, Widyawan
Format: Article
Language:English
Published: Springer 2009
Subjects:
Online Access:https://repository.ugm.ac.id/33111/1/Adaptive_Motion_Model_for_Smartphone.pdf
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author Widyawan, Widyawan
author_facet Widyawan, Widyawan
author_sort Widyawan, Widyawan
collection UGM
description Localization systems will evolve towards autonomous system which will use any useful information provided by mobile devices taking the hardware specification and environmental limitations into account. This paper demonstrates the concept of opportunistic localization using a smart phone with the following sensor technologies:Wi-Fi, GSM, GPS and two embedded accelerometers. A particle filter based estimator with an adaptive motion model is used to seamlessly fuse the different sensory readings. Real experiments in multi-floor, indoor-outdoor environments were conducted to analyze the performance of the proposed system. The achieved results using various sensor combinations are presented.
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spelling oai:generic.eprints.org:331112014-03-21T08:42:43Z https://repository.ugm.ac.id/33111/ Adaptive Motion Model for a Smart Phone Based Opportunistic Localization System Widyawan, Widyawan Makalah prosiding Localization systems will evolve towards autonomous system which will use any useful information provided by mobile devices taking the hardware specification and environmental limitations into account. This paper demonstrates the concept of opportunistic localization using a smart phone with the following sensor technologies:Wi-Fi, GSM, GPS and two embedded accelerometers. A particle filter based estimator with an adaptive motion model is used to seamlessly fuse the different sensory readings. Real experiments in multi-floor, indoor-outdoor environments were conducted to analyze the performance of the proposed system. The achieved results using various sensor combinations are presented. Springer 2009 Article PeerReviewed application/pdf en https://repository.ugm.ac.id/33111/1/Adaptive_Motion_Model_for_Smartphone.pdf Widyawan, Widyawan (2009) Adaptive Motion Model for a Smart Phone Based Opportunistic Localization System. Second InternationalWorkshop, MELT 2009 Orlando, FL, USA. ISSN Library of Congress Control 2009934296
spellingShingle Makalah prosiding
Widyawan, Widyawan
Adaptive Motion Model for a Smart Phone Based Opportunistic Localization System
title Adaptive Motion Model for a Smart Phone Based Opportunistic Localization System
title_full Adaptive Motion Model for a Smart Phone Based Opportunistic Localization System
title_fullStr Adaptive Motion Model for a Smart Phone Based Opportunistic Localization System
title_full_unstemmed Adaptive Motion Model for a Smart Phone Based Opportunistic Localization System
title_short Adaptive Motion Model for a Smart Phone Based Opportunistic Localization System
title_sort adaptive motion model for a smart phone based opportunistic localization system
topic Makalah prosiding
url https://repository.ugm.ac.id/33111/1/Adaptive_Motion_Model_for_Smartphone.pdf
work_keys_str_mv AT widyawanwidyawan adaptivemotionmodelforasmartphonebasedopportunisticlocalizationsystem