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Paper Abstract and Keywords
Presentation 2022-07-14 10:30
LED Array Acquisition For Road-to-Vehicle Visible Light Communication Using Cost-Sensitive Support Vector Machine and Spatial-Temporal Gradient Values
Kento Nakamura, Takaya Yamazato (Nagoya Univ.), Masayuki Kinoshita (CIT), Hiraku Okada, Toshiaki Fuji (Nagoya Univ.), Shintaro Arai (Okayama University of Science), Koji Kamakura (CIT), Tomohiro Yendo (Nagaoka University of Technology) CS2022-11
Abstract (in Japanese) (See Japanese page) 
(in English) In this study, we focus om an image sensor visible light communication(VLC) for Intelligent Transport system(ITS). In particular, we considered a case where the transmitter position in the captured image of the vehicle's receiver move. In the previous study, corrected the movement of the transmitter and acquired the transmitter by using the scatter plots of spatial-temporal gradient values and discriminant line. However, in this case, the background non-transmitters position move and the part of background non-transmitters have high temporal gradient values. This is why, the simple discriminant line was not optimal threshold line. Therefore, in this study, we proposed the transmitter acquisition method by using undersampling based on the k-means method of background non-transmitter data and Cost-Sensitive SVM model that consider the weight of data for more accurate transmitter acquisition.
Keyword (in Japanese) (See Japanese page) 
(in English) ITS / Visible Light Communication(VLC) / High-speed camera / LED transmitter acquisition / Machine learning / / /  
Reference Info. IEICE Tech. Rep., vol. 122, no. 110, CS2022-11, pp. 3-7, July 2022.
Paper # CS2022-11 
Date of Issue 2022-07-07 (CS) 
ISSN Online edition: ISSN 2432-6380
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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 CS  
Conference Date 2022-07-14 - 2022-07-15 
Place (in Japanese) (See Japanese page) 
Place (in English) Yakushima Environmental and Cultural Village Center 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Next Generation Networks, Access Networks, Broadband Access, Power Line Communications, Wireless Communication Systems, Coding Systems, etc. 
Paper Information
Registration To CS 
Conference Code 2022-07-CS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) LED Array Acquisition For Road-to-Vehicle Visible Light Communication Using Cost-Sensitive Support Vector Machine and Spatial-Temporal Gradient Values 
Sub Title (in English)  
Keyword(1) ITS  
Keyword(2) Visible Light Communication(VLC)  
Keyword(3) High-speed camera  
Keyword(4) LED transmitter acquisition  
Keyword(5) Machine learning  
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1st Author's Name Kento Nakamura  
1st Author's Affiliation Nagoya University (Nagoya Univ.)
2nd Author's Name Takaya Yamazato  
2nd Author's Affiliation Nagoya University (Nagoya Univ.)
3rd Author's Name Masayuki Kinoshita  
3rd Author's Affiliation Chiba Institute of Technology (CIT)
4th Author's Name Hiraku Okada  
4th Author's Affiliation Nagoya University (Nagoya Univ.)
5th Author's Name Toshiaki Fuji  
5th Author's Affiliation Nagoya University (Nagoya Univ.)
6th Author's Name Shintaro Arai  
6th Author's Affiliation Okayama University of Science (Okayama University of Science)
7th Author's Name Koji Kamakura  
7th Author's Affiliation Chiba Institute of Technology (CIT)
8th Author's Name Tomohiro Yendo  
8th Author's Affiliation Nagaoka University of Technology (Nagaoka University of Technology)
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Speaker Author-1 
Date Time 2022-07-14 10:30:00 
Presentation Time 10 minutes 
Registration for CS 
Paper # CS2022-11 
Volume (vol) vol.122 
Number (no) no.110 
Page pp.3-7 
#Pages
Date of Issue 2022-07-07 (CS) 


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