Presentation 2014-01-23
Localization Calibration Using Illuminance Sensor for Pedestrian Dead Reckoning with Smartphones
Yohei MURAKAMI, Tomoaki OHTSUKI,
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Abstract(in Japanese) (See Japanese page)
Abstract(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)
Keyword(in English) Indoor localization / Smartphone / Dead reckoning / Illuminance sensor
Paper # ASN2013-121
Date of Issue

Conference Information
Committee ASN
Conference Date 2014/1/16(1days)
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Paper Information
Registration To Ambient intelligence and Sensor Networks(ASN)
Language JPN
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
1st Author's Name Yohei MURAKAMI
1st Author's Affiliation Department of Information and Computer Science, Keio University()
2nd Author's Name Tomoaki OHTSUKI
2nd Author's Affiliation Department of Information and Computer Science, Keio University
Date 2014-01-23
Paper # ASN2013-121
Volume (vol) vol.113
Number (no) 399
Page pp.pp.-
#Pages 6
Date of Issue