Presentation 2009-07-31
Position Estimation of both User and Objct Indoors Toward Life Log Service
Tatsuya ISHIHARA, Yukihiro NAKAMURA, Shin-yo MUTO, Masanobu ABE,
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Abstract(in English) We propose an algorithm that can simultaneously estimate the positions of a user and deployed sensors attached to objects in indoor environments. In order to estimate the positions of user and sensor, we propose user model combined with SLAM (simultaneous location and mapping). The user model estimates the user's position from not only current sensor data but also previously logged data according to reliability factor. The most important advantage of the algorithm is that it requires no calibration. Evaluation results show that estimation errors are less than 320mm in both human and sensors positions, and are small enough to develop context-aware indoor service taking into account the personal space.
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Keyword(in English) SLAM / Auto-calibration / Position estimation
Paper # LOIS2009-14
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Committee LOIS
Conference Date 2009/7/23(1days)
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Registration To Life Intelligence and Office Information Systems (LOIS)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Position Estimation of both User and Objct Indoors Toward Life Log Service
Sub Title (in English)
Keyword(1) SLAM
Keyword(2) Auto-calibration
Keyword(3) Position estimation
1st Author's Name Tatsuya ISHIHARA
1st Author's Affiliation NTT Cyber Solutions Laboratories()
2nd Author's Name Yukihiro NAKAMURA
2nd Author's Affiliation NTT Cyber Solutions Laboratories
3rd Author's Name Shin-yo MUTO
3rd Author's Affiliation NTT Cyber Solutions Laboratories
4th Author's Name Masanobu ABE
4th Author's Affiliation NTT Cyber Solutions Laboratories
Date 2009-07-31
Paper # LOIS2009-14
Volume (vol) vol.109
Number (no) 160
Page pp.pp.-
#Pages 6
Date of Issue