| Paper Abstract and Keywords |
| Presentation |
2022-10-13 11:10
[Poster Presentation]
Light Source Tracking System for A-QL based OCC
Yuki Sasaki, Kazuki Maruta (Tokyo Univ. of Science), Shun Kojima (Univ. of Tokyo), Daisuke Hisano (Osaka Univ.), Yu Nakayama (TUAT) |
| Abstract |
(in Japanese) |
(See Japanese page) |
| (in English) |
Visible light communication (VLC) has been getting more and more attention toward 6G, which aims to realize mobile communications under water and radio quiet zone.
Optical Camera Communication (OCC) uses a camera as a receiver in VLC, and is capable of detecting the direction of arrival and the shape of the source (luminous objects). When the source or receiver is in a moving environment, it is necessary to dynamically track the light source and identify its region of interest (ROI) in the image.
In this study, the transmitter employs A-QL format specified in IEEE 802.15.7 and the receiver side uses YOLO, a deep learning-based object detection algorithm.
This paper proposes modified transmission symbol format so that the receiver can detect A-QL symbols with adjusting its angle and orientation by YOLO.
Then we demonstrate a dynamic light source tracking system that enables stable communication even under the mobility environment. |
| Keyword |
(in Japanese) |
(See Japanese page) |
| (in English) |
6G / Visible Light Communication / Optical Camera Communication / A-QL / Optical Source Tracking / Deep Learning / YOLO / |
| Reference Info. |
IEICE Tech. Rep. |
| Paper # |
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| Date of Issue |
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| Download PDF |
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| Conference Information |
| Committee |
MIKA |
| Conference Date |
2022-10-12 - 2022-10-15 |
| Place (in Japanese) |
(See Japanese page) |
| Place (in English) |
Niigata Citizens Plaza |
| Topics (in Japanese) |
(See Japanese page) |
| Topics (in English) |
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| Paper Information |
| Registration To |
MIKA |
| Conference Code |
2022-10-MIKA |
| Language |
Japanese |
| Title (in Japanese) |
(See Japanese page) |
| Sub Title (in Japanese) |
(See Japanese page) |
| Title (in English) |
Light Source Tracking System for A-QL based OCC |
| Sub Title (in English) |
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| Keyword(1) |
6G |
| Keyword(2) |
Visible Light Communication |
| Keyword(3) |
Optical Camera Communication |
| Keyword(4) |
A-QL |
| Keyword(5) |
Optical Source Tracking |
| Keyword(6) |
Deep Learning |
| Keyword(7) |
YOLO |
| Keyword(8) |
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| 1st Author's Name |
Yuki Sasaki |
| 1st Author's Affiliation |
Tokyo University of Science (Tokyo Univ. of Science) |
| 2nd Author's Name |
Kazuki Maruta |
| 2nd Author's Affiliation |
Tokyo University of Science (Tokyo Univ. of Science) |
| 3rd Author's Name |
Shun Kojima |
| 3rd Author's Affiliation |
University of Tokyo (Univ. of Tokyo) |
| 4th Author's Name |
Daisuke Hisano |
| 4th Author's Affiliation |
Osaka University (Osaka Univ.) |
| 5th Author's Name |
Yu Nakayama |
| 5th Author's Affiliation |
Tokyo University of Agriculture and Technology (TUAT) |
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| Speaker |
Author-1 |
| Date Time |
2022-10-13 11:10:00 |
| Presentation Time |
50 minutes |
| Registration for |
MIKA |
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| Volume (vol) |
vol. |
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