Vehicle Positioning System using V2X that Combines V2V and V2I Communications

Geon Hee Kim; Dong Sung Pae; Woo Jin Ahn; Koung Suk Ko; Myo Tae Lim; Tae Koo Kang

doi:10.1088/1757-899X/922/1/012009

Vehicle Positioning System using V2X that Combines V2V and V2I Communications

Geon Hee Kim, Dong Sung Pae, Woo Jin Ahn, Koung Suk Ko, Myo Tae Lim, Tae Koo Kang

Research output: Contribution to journal › Conference article › peer-review

5 Citations (Scopus)

Abstract

In this paper, we present a V2X (Vehicle to Everything) vehicle positioning system environment using V2V (Vehicle to Vehicle) and V2I (Vehicle to Infrastructure) communication server. With the growth of the 5G network technology, using V2X which exchanges information, connected car recently became an important area of research in autonomous driving. However, it takes too much risk to test autonomous driving in a real-world experiment and it also have difficulties such as road infrastructure or 5G communication system. Regrading autonomous driving research, we established V2X environment in a small RC car, similar to a vehicle environment. Our proposed Vehicle Positioning System environment uses a ceiling camera, V2V, and main server, V2I, which plays the same role as GPS and 5G in the real-world. Combining the V2I and V2V from the camera of each other car using Kalman Filter we present a vehicle positioning system.

Original language	English
Article number	012009
Journal	IOP Conference Series: Materials Science and Engineering
Volume	922
Issue number	1
DOIs	https://doi.org/10.1088/1757-899X/922/1/012009
Publication status	Published - 2020 Oct 28
Event	2020 9th International Conference on Mechatronics and Control Engineering, ICMCE 2020 - Rome, Italy Duration: 2020 Jul 22 → 2020 Jul 24

Bibliographical note

Funding Information:
This work was supported by the Basic Science Research Program through the National Research Foundation of Korea NRF) funded by the Ministry of Education (No. 2019R1A2C108974211)

Publisher Copyright:
© Published under licence by IOP Publishing Ltd.

ASJC Scopus subject areas

General Materials Science
General Engineering

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10.1088/1757-899X/922/1/012009

Cite this

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title = "Vehicle Positioning System using V2X that Combines V2V and V2I Communications",

abstract = "In this paper, we present a V2X (Vehicle to Everything) vehicle positioning system environment using V2V (Vehicle to Vehicle) and V2I (Vehicle to Infrastructure) communication server. With the growth of the 5G network technology, using V2X which exchanges information, connected car recently became an important area of research in autonomous driving. However, it takes too much risk to test autonomous driving in a real-world experiment and it also have difficulties such as road infrastructure or 5G communication system. Regrading autonomous driving research, we established V2X environment in a small RC car, similar to a vehicle environment. Our proposed Vehicle Positioning System environment uses a ceiling camera, V2V, and main server, V2I, which plays the same role as GPS and 5G in the real-world. Combining the V2I and V2V from the camera of each other car using Kalman Filter we present a vehicle positioning system.",

author = "Kim, {Geon Hee} and Pae, {Dong Sung} and Ahn, {Woo Jin} and Ko, {Koung Suk} and Lim, {Myo Tae} and Kang, {Tae Koo}",

note = "Funding Information: This work was supported by the Basic Science Research Program through the National Research Foundation of Korea NRF) funded by the Ministry of Education (No. 2019R1A2C108974211) Publisher Copyright: {\textcopyright} Published under licence by IOP Publishing Ltd.; 2020 9th International Conference on Mechatronics and Control Engineering, ICMCE 2020 ; Conference date: 22-07-2020 Through 24-07-2020",

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AU - Ahn, Woo Jin

AU - Ko, Koung Suk

AU - Lim, Myo Tae

AU - Kang, Tae Koo

N1 - Funding Information: This work was supported by the Basic Science Research Program through the National Research Foundation of Korea NRF) funded by the Ministry of Education (No. 2019R1A2C108974211) Publisher Copyright: © Published under licence by IOP Publishing Ltd.

PY - 2020/10/28

Y1 - 2020/10/28

N2 - In this paper, we present a V2X (Vehicle to Everything) vehicle positioning system environment using V2V (Vehicle to Vehicle) and V2I (Vehicle to Infrastructure) communication server. With the growth of the 5G network technology, using V2X which exchanges information, connected car recently became an important area of research in autonomous driving. However, it takes too much risk to test autonomous driving in a real-world experiment and it also have difficulties such as road infrastructure or 5G communication system. Regrading autonomous driving research, we established V2X environment in a small RC car, similar to a vehicle environment. Our proposed Vehicle Positioning System environment uses a ceiling camera, V2V, and main server, V2I, which plays the same role as GPS and 5G in the real-world. Combining the V2I and V2V from the camera of each other car using Kalman Filter we present a vehicle positioning system.

AB - In this paper, we present a V2X (Vehicle to Everything) vehicle positioning system environment using V2V (Vehicle to Vehicle) and V2I (Vehicle to Infrastructure) communication server. With the growth of the 5G network technology, using V2X which exchanges information, connected car recently became an important area of research in autonomous driving. However, it takes too much risk to test autonomous driving in a real-world experiment and it also have difficulties such as road infrastructure or 5G communication system. Regrading autonomous driving research, we established V2X environment in a small RC car, similar to a vehicle environment. Our proposed Vehicle Positioning System environment uses a ceiling camera, V2V, and main server, V2I, which plays the same role as GPS and 5G in the real-world. Combining the V2I and V2V from the camera of each other car using Kalman Filter we present a vehicle positioning system.

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Vehicle Positioning System using V2X that Combines V2V and V2I Communications

Abstract

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