Image sensor communication (ISC), derived from visible light communication (VLC) is an attractive solution for outdoor mobile environments, particularly for intelligent transport systems (ITS). In ITS-ISC, tracking a transmitter in the image plane is critical issue since vehicle vibrations make it difficult to selsct the correct pixels for data reception. Our goal in this study is to develop a precise tracking method. To accomplish this, vehicle vibration modeling and its parameters estimation, i.e., represetative frequencies and their amplitudes for inherent vehicle vibration, and the variance of the Gaussian random process represnting road surface irregularity, are required. In this paper, we measured actual vehicle vibration in a driving situation and determined parameters based on the frequency characteristics. Then, we demonstrate that vehicle vibration that induces transmitter displacement in an image plane can be modeled by only Gaussian random processes that represent road surface irregularity when a high frame rate (e.g., 1000fps) image sensor is used as an ISC receiver. The simplified vehicle vibration model and its parameters are evaluated by numerical analysis and experimental measurement and obtained result shows that the proposed model can reproduce the characteristics of the transmitter displacement sufficiently.
Masayuki KINOSHITA
Nagoya University
Takaya YAMAZATO
Nagoya University
Hiraku OKADA
Nagoya University
Toshiaki FUJII
Nagoya University
Shintaro ARAI
Okayama University of Science
Tomohiro YENDO
Nagaoka University of Technology
Koji KAMAKURA
Chiba Institute of Technology
The copyright of the original papers published on this site belongs to IEICE. Unauthorized use of the original or translated papers is prohibited. See IEICE Provisions on Copyright for details.
Copy
Masayuki KINOSHITA, Takaya YAMAZATO, Hiraku OKADA, Toshiaki FUJII, Shintaro ARAI, Tomohiro YENDO, Koji KAMAKURA, "Simplified Vehicle Vibration Modeling for Image Sensor Communication" in IEICE TRANSACTIONS on Fundamentals,
vol. E101-A, no. 1, pp. 176-184, January 2018, doi: 10.1587/transfun.E101.A.176.
Abstract: Image sensor communication (ISC), derived from visible light communication (VLC) is an attractive solution for outdoor mobile environments, particularly for intelligent transport systems (ITS). In ITS-ISC, tracking a transmitter in the image plane is critical issue since vehicle vibrations make it difficult to selsct the correct pixels for data reception. Our goal in this study is to develop a precise tracking method. To accomplish this, vehicle vibration modeling and its parameters estimation, i.e., represetative frequencies and their amplitudes for inherent vehicle vibration, and the variance of the Gaussian random process represnting road surface irregularity, are required. In this paper, we measured actual vehicle vibration in a driving situation and determined parameters based on the frequency characteristics. Then, we demonstrate that vehicle vibration that induces transmitter displacement in an image plane can be modeled by only Gaussian random processes that represent road surface irregularity when a high frame rate (e.g., 1000fps) image sensor is used as an ISC receiver. The simplified vehicle vibration model and its parameters are evaluated by numerical analysis and experimental measurement and obtained result shows that the proposed model can reproduce the characteristics of the transmitter displacement sufficiently.
URL: https://globals.ieice.org/en_transactions/fundamentals/10.1587/transfun.E101.A.176/_p
Copy
@ARTICLE{e101-a_1_176,
author={Masayuki KINOSHITA, Takaya YAMAZATO, Hiraku OKADA, Toshiaki FUJII, Shintaro ARAI, Tomohiro YENDO, Koji KAMAKURA, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Simplified Vehicle Vibration Modeling for Image Sensor Communication},
year={2018},
volume={E101-A},
number={1},
pages={176-184},
abstract={Image sensor communication (ISC), derived from visible light communication (VLC) is an attractive solution for outdoor mobile environments, particularly for intelligent transport systems (ITS). In ITS-ISC, tracking a transmitter in the image plane is critical issue since vehicle vibrations make it difficult to selsct the correct pixels for data reception. Our goal in this study is to develop a precise tracking method. To accomplish this, vehicle vibration modeling and its parameters estimation, i.e., represetative frequencies and their amplitudes for inherent vehicle vibration, and the variance of the Gaussian random process represnting road surface irregularity, are required. In this paper, we measured actual vehicle vibration in a driving situation and determined parameters based on the frequency characteristics. Then, we demonstrate that vehicle vibration that induces transmitter displacement in an image plane can be modeled by only Gaussian random processes that represent road surface irregularity when a high frame rate (e.g., 1000fps) image sensor is used as an ISC receiver. The simplified vehicle vibration model and its parameters are evaluated by numerical analysis and experimental measurement and obtained result shows that the proposed model can reproduce the characteristics of the transmitter displacement sufficiently.},
keywords={},
doi={10.1587/transfun.E101.A.176},
ISSN={1745-1337},
month={January},}
Copy
TY - JOUR
TI - Simplified Vehicle Vibration Modeling for Image Sensor Communication
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 176
EP - 184
AU - Masayuki KINOSHITA
AU - Takaya YAMAZATO
AU - Hiraku OKADA
AU - Toshiaki FUJII
AU - Shintaro ARAI
AU - Tomohiro YENDO
AU - Koji KAMAKURA
PY - 2018
DO - 10.1587/transfun.E101.A.176
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E101-A
IS - 1
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - January 2018
AB - Image sensor communication (ISC), derived from visible light communication (VLC) is an attractive solution for outdoor mobile environments, particularly for intelligent transport systems (ITS). In ITS-ISC, tracking a transmitter in the image plane is critical issue since vehicle vibrations make it difficult to selsct the correct pixels for data reception. Our goal in this study is to develop a precise tracking method. To accomplish this, vehicle vibration modeling and its parameters estimation, i.e., represetative frequencies and their amplitudes for inherent vehicle vibration, and the variance of the Gaussian random process represnting road surface irregularity, are required. In this paper, we measured actual vehicle vibration in a driving situation and determined parameters based on the frequency characteristics. Then, we demonstrate that vehicle vibration that induces transmitter displacement in an image plane can be modeled by only Gaussian random processes that represent road surface irregularity when a high frame rate (e.g., 1000fps) image sensor is used as an ISC receiver. The simplified vehicle vibration model and its parameters are evaluated by numerical analysis and experimental measurement and obtained result shows that the proposed model can reproduce the characteristics of the transmitter displacement sufficiently.
ER -