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Paper Abstract and Keywords
Presentation 2014-01-23 09:50
Localization Calibration Using Illuminance Sensor for Pedestrian Dead Reckoning with Smartphones
Yohei Murakami, Tomoaki Ohtsuki (Keio Univ.) ASN2013-121
Abstract (in Japanese) (See Japanese page) 
(in English) Pedestrian dead reckoning is a method of localization that uses inertial sensors to estimate
the travelled distance from the previous position. This method can estimate the position
when GPS or WiFi is not available such as indoor. However, pedestrian dead reckoning is subject to cumulative errors.
In this report, we exploit the fact that most of lights are located regularly in indoor environments.
We calibrate the estimated position by pedestrian dead reckoning by the estimated distance between lights when we judge that lights are located regularly from
the information obtained by illuminance sensor. In our proposed method, we do not need to know the position of lights.
We judge whether lights are regularly located or not from the change of illuminance obtained by illuminance sensor in smartphone. When we judge that lights are regularly located, we calibrate the estimated position by the average estimated distance between lights.
In this report, we report the localization performance of the proposed
method in some environments such as at the aisle affected by
sunlight and in the room.
Keyword (in Japanese) (See Japanese page) 
(in English) Indoor localization / Smartphone / Dead reckoning / Illuminance sensor / / / /  
Reference Info. IEICE Tech. Rep., vol. 113, no. 399, ASN2013-121, pp. 17-22, Jan. 2014.
Paper # ASN2013-121 
Date of Issue 2014-01-16 (ASN) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
Copyright
and
reproduction		 All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
Download PDF ASN2013-121

Conference Information
Committee ASN MoNA  
Conference Date 2014-01-23 - 2014-01-24 
Place (in Japanese) (See Japanese page) 
Place (in English) Hotel Okudogo (Matsuyama) 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Mobile Networks, Mobile Applications, Ambient Intelligence, Sensor Networks, etc. 
Paper Information
Registration To ASN 
Conference Code 2014-01-ASN-MoNA 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Localization Calibration Using Illuminance Sensor for Pedestrian Dead Reckoning with Smartphones 
Sub Title (in English)  
Keyword(1) Indoor localization  
Keyword(2) Smartphone  
Keyword(3) Dead reckoning  
Keyword(4) Illuminance sensor  
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Keyword(6)  
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1st Author's Name Yohei Murakami  
1st Author's Affiliation Keio University (Keio Univ.)
2nd Author's Name Tomoaki Ohtsuki  
2nd Author's Affiliation Keio University (Keio Univ.)
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Speaker Author-1 
Date Time 2014-01-23 09:50:00 
Presentation Time 25 minutes 
Registration for ASN 
Paper # ASN2013-121 
Volume (vol) vol.113 
Number (no) no.399 
Page pp.17-22 
#Pages 6 
Date of Issue 2014-01-16 (ASN) 

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