Paper Abstract and Keywords |
Presentation |
2017-12-15 14:55
LED array detection method using SVM for ITS image sensor visible light communication Masahiro Hori, Masayuki Kinoshita, Takaya Yamazato, Hiraku Okada, Toshiaki Fujii (Nagoya Univ.), Koji Kamakura (Chiba Inst. of Tech.), Tomohiro Yendo (Nagaoka Univ. of Sci.), Shintaro Arai (Okayama Univ. of Sci.) WBS2017-79 ITS2017-56 RCC2017-95 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
In this paper, we focus on an image sensor visible light communication (VLC) for Intelligent Transport System (ITS). In this system, a transmitter is an LED array, and a receiver is a high-speed camera. To receive VLC signals, it is necessary to specify the position of the LED array transmitter from captured images. Previous studies showed that the LED array has a high temporal gradient value and a low spatial gradient value, and proposed an LED array detection method using these features. However, the method has difficulty to distinguish between information-contained LED array transmitter and an artificial light source without information. Also, since the number of pixels corresponding to the non-LED array is much larger than that of the LED array, such data imbalance should be considered. Therefore, in this paper, to detect LED array more accurately, we performed undersampling based on the k-means method. Then, we propose an LED array detection method using SVM model from these data. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Visible light communication / Image sensor communication / Image processing / Machine learning / Object detection / / / |
Reference Info. |
IEICE Tech. Rep., vol. 117, no. 347, ITS2017-56, pp. 251-255, Dec. 2017. |
Paper # |
ITS2017-56 |
Date of Issue |
2017-12-07 (WBS, ITS, RCC) |
ISSN |
Print edition: ISSN 0913-5685 Online edition: ISSN 2432-6380 |
Copyright and reproduction |
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WBS2017-79 ITS2017-56 RCC2017-95 |
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