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 |
Copyright and reproduction |
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