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| Presentation | 2022-01-21 09:50 [Short Paper] A Study of Computer Vision-aided Single-antenna and Single-anchor RSSI Localization Considering Movable Obstructions Tomoya Sunami, Sohei Itahara (Kyoto Univ.), Yusuke Koda (Oulu Univ.), Takayuki Nishio (Kyoto Univ./Tokyo Tech.), Koji Yamamoto (Kyoto Univ.)  SeMI2021-75 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | This paper shows the feasibility of single-antenna and single-RF (radio frequency)-anchor received power strength indicator (RSSI) localization with the aid of computer vision (CV). Generally, realizing localization with single-antenna and single-anchor RSSI is challenging because it only indicates coarse-grained distance information between the receiver and the transmitter. In this study, the first Fresnel zone (FFZ) between the receiver and the transmitter is estimated by recording the position of the moving obstruction in the line-of-sight path using the CV technique. Specifically, we detect the signal attenuation caused by the blockage of the FFZ from the RSSI time series, and detect the position of the moving obstruction at the time. These estimated obstacle positions coincide with points on the FFZ boundaries in principle, and the transmitter’s position can be localized from this estimated FFZ. The experimental evaluation showed that the proposed method achieves a localization error of less than 1.0 m in indoor environments, comparable to conventional triangulation-based RSSI localization with multiple RF anchors. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Wireless sensing / RSSI localization / Computer vision / Sensor fusion / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 121, no. 333, SeMI2021-75, pp. 89-91, Jan. 2022. | |
| Paper # | SeMI2021-75 | |
| Date of Issue | 2022-01-13 (SeMI) | |
| 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) | |
| Download PDF | SeMI2021-75 |
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| Conference Information | |
| Committee | SeMI |
| Conference Date | 2022-01-20 - 2022-01-21 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Paper Information | |
| Registration To | SeMI |
| Conference Code | 2022-01-SeMI |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | A Study of Computer Vision-aided Single-antenna and Single-anchor RSSI Localization Considering Movable Obstructions |
| Sub Title (in English) | |
| Keyword(1) | Wireless sensing |
| Keyword(2) | RSSI localization |
| Keyword(3) | Computer vision |
| Keyword(4) | Sensor fusion |
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| 1st Author's Name | Tomoya Sunami |
| 1st Author's Affiliation | Kyoto University (Kyoto Univ.) |
| 2nd Author's Name | Sohei Itahara |
| 2nd Author's Affiliation | Kyoto University (Kyoto Univ.) |
| 3rd Author's Name | Yusuke Koda |
| 3rd Author's Affiliation | University of Oulu (Oulu Univ.) |
| 4th Author's Name | Takayuki Nishio |
| 4th Author's Affiliation | Kyoto University/Tokyo Institute of Technology (Kyoto Univ./Tokyo Tech.) |
| 5th Author's Name | Koji Yamamoto |
| 5th Author's Affiliation | Kyoto University (Kyoto Univ.) |
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| Speaker | Author-1 |
| Date Time | 2022-01-21 09:50:00 |
| Presentation Time | 10 minutes |
| Registration for | SeMI |
| Paper # | SeMI2021-75 |
| Volume (vol) | vol.121 |
| Number (no) | no.333 |
| Page | pp.89-91 |
| #Pages | 3 |
| Date of Issue | 2022-01-13 (SeMI) |
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