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) |
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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) |
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Keyword(1) |
Indoor localization |
Keyword(2) |
Smartphone |
Keyword(3) |
Dead reckoning |
Keyword(4) |
Illuminance sensor |
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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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