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Paper Abstract and Keywords
Presentation 2022-03-09 13:50
A Feasibility Study of Precise Positioning for Pedestrian Trajectories Using QZSS CLAS
Hideo Makino, Yoshinobu Maeda, Masashi Takahashi, Toru Adachi (Niigata Univ.), Makoto Kobayashi, Daisuke Wakatsuki (Tsukuba Univ. Tech.), Jun Izutsu, Satoru Sugita, Hiromichi Fukui (Chubu Univ.) WIT2021-55
Abstract (in Japanese) (See Japanese page) 
(in English) We conducted high-precision positioning experiments using the Quasi-Zenith Satellite System (QZSS) and centimeter-level augmentation service (CLAS) framework to realize positioning for visually impaired people walking outdoors and provide the position information to emergency personnel in the event of a large-scale disaster.
Two methods were used. In method 1, centimeter-level positioning augmentation information from the QZSS was recorded using a receiver (Mosaic-CLAS) with a single antenna. Method 2 implemented the CLAS-based real-time kinematic correction system (CLARCS) through a mobile communication line and a receiver (AsteRx-m3) with dual-antenna. Outdoor walking experiments involving method 1 were performed in the Niigata University campus. The antennas were attached near the shoulder of the participant. Experiments involving method 2 were conducted in a downtown area (Ginza, Tokyo) surrounded by buildings. Results demonstrated that decimeter-level positioning could be realized in the open sky area in Niigata University. In the urban area, an error of several meters occurred owing to the influence of the multipath and other factors. However, the positioning accuracy was satisfactory at the intersection. Furthermore, we examined the application of the system for speech navigation.
Keyword (in Japanese) (See Japanese page) 
(in English) QZSS / CLARCS / CLAS / Visually impaired / / / /  
Reference Info. IEICE Tech. Rep., vol. 121, no. 418, WIT2021-55, pp. 71-76, March 2022.
Paper # WIT2021-55 
Date of Issue 2022-03-01 (WIT) 
ISSN 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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Conference Information
Committee WIT IPSJ-AAC  
Conference Date 2022-03-08 - 2022-03-09 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To WIT 
Conference Code 2022-03-WIT-AAC 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A Feasibility Study of Precise Positioning for Pedestrian Trajectories Using QZSS CLAS 
Sub Title (in English)  
Keyword(1) QZSS  
Keyword(2) CLARCS  
Keyword(3) CLAS  
Keyword(4) Visually impaired  
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Keyword(6)  
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1st Author's Name Hideo Makino  
1st Author's Affiliation Niigata University (Niigata Univ.)
2nd Author's Name Yoshinobu Maeda  
2nd Author's Affiliation Niigata University (Niigata Univ.)
3rd Author's Name Masashi Takahashi  
3rd Author's Affiliation Niigata University (Niigata Univ.)
4th Author's Name Toru Adachi  
4th Author's Affiliation Niigata University (Niigata Univ.)
5th Author's Name Makoto Kobayashi  
5th Author's Affiliation Tsukuba University of Technology (Tsukuba Univ. Tech.)
6th Author's Name Daisuke Wakatsuki  
6th Author's Affiliation Tsukuba University of Technology (Tsukuba Univ. Tech.)
7th Author's Name Jun Izutsu  
7th Author's Affiliation Chubu University (Chubu Univ.)
8th Author's Name Satoru Sugita  
8th Author's Affiliation Chubu University (Chubu Univ.)
9th Author's Name Hiromichi Fukui  
9th Author's Affiliation Chubu University (Chubu Univ.)
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Speaker Author-1 
Date Time 2022-03-09 13:50:00 
Presentation Time 25 minutes 
Registration for WIT 
Paper # WIT2021-55 
Volume (vol) vol.121 
Number (no) no.418 
Page pp.71-76 
#Pages 6 
Date of Issue 2022-03-01 (WIT) 

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