The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
다양한 기기가 통신망으로 연결되는 사물인터넷(Internet of Things)의 급속한 확산으로 무인자동차(UV)를 위한 원격운전 애플리케이션이 주목받고 있다. 자율주행 기술은 자동차 외에도 건물 내·외부를 감시하는 감시카메라를 장착한 소형차, 사무용품을 배달하는 자율주행차, 휠체어 등 다양한 장비에 적용될 것으로 예상된다. UV를 원격으로 제어할 경우 전송 지연 및 지터로 인해 제어 정확도가 저하됩니다. 클라우드 서버에 의한 UV 제어 시스템을 구현하려면 정확도를 높게 유지해야 합니다. 본 연구에서는 UV의 경로 추적 제어를 위한 디지털 트윈 컴퓨팅(DTC)의 효율성을 조사합니다. 일부 클라우드 서버를 이용하여 인터넷에서 측정한 전송 지연 값을 이용한 시뮬레이션 결과를 보여드립니다. 결과를 통해 DTC를 적용하면 경로추적 제어에 있어서 제어 정확도가 향상됨을 정량적으로 규명하였다. 또한 전송 지연 변동을 흡수하는 지터 버퍼를 적용하면 정확도를 더욱 향상시킬 수 있음을 명확히 합니다.
Yudai YOSHIMOTO
National Defense Academy of Japan
Taro WATANABE
National Defense Academy of Japan
Ryohei NAKAMURA
National Defense Academy of Japan
Hisaya HADAMA
National Defense Academy of Japan
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Yudai YOSHIMOTO, Taro WATANABE, Ryohei NAKAMURA, Hisaya HADAMA, "Effectiveness of Digital Twin Computing on Path Tracking Control of Unmanned Vehicle by Cloud Server" in IEICE TRANSACTIONS on Communications,
vol. E105-B, no. 11, pp. 1424-1433, November 2022, doi: 10.1587/transcom.2021EBP3204.
Abstract: With the rapid deployment of the Internet of Things, where various devices are connected to communication networks, remote driving applications for Unmanned Vehicles (UVs) are attracting attention. In addition to automobiles, autonomous driving technology is expected to be applied to various types of equipment, such as small vehicles equipped with surveillance cameras to monitor building internally and externally, autonomous vehicles that deliver office supplies, and wheelchairs. When a UV is remotely controlled, the control accuracy deteriorates due to transmission delay and jitter. The accuracy must be kept high to realize UV control system by a cloud server. In this study, we investigate the effectiveness of Digital Twin Computing (DTC) for path tracking control of a UV. We show the results of simulations that use transmission delay values measured on the Internet with some cloud servers. Through the results, we quantitatively clarify that application of DTC improves control accuracy on path tracking control. We also clarify that application of jitter buffer, which absorbs the transmission delay fluctuation, can further improve the accuracy.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.2021EBP3204/_p
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@ARTICLE{e105-b_11_1424,
author={Yudai YOSHIMOTO, Taro WATANABE, Ryohei NAKAMURA, Hisaya HADAMA, },
journal={IEICE TRANSACTIONS on Communications},
title={Effectiveness of Digital Twin Computing on Path Tracking Control of Unmanned Vehicle by Cloud Server},
year={2022},
volume={E105-B},
number={11},
pages={1424-1433},
abstract={With the rapid deployment of the Internet of Things, where various devices are connected to communication networks, remote driving applications for Unmanned Vehicles (UVs) are attracting attention. In addition to automobiles, autonomous driving technology is expected to be applied to various types of equipment, such as small vehicles equipped with surveillance cameras to monitor building internally and externally, autonomous vehicles that deliver office supplies, and wheelchairs. When a UV is remotely controlled, the control accuracy deteriorates due to transmission delay and jitter. The accuracy must be kept high to realize UV control system by a cloud server. In this study, we investigate the effectiveness of Digital Twin Computing (DTC) for path tracking control of a UV. We show the results of simulations that use transmission delay values measured on the Internet with some cloud servers. Through the results, we quantitatively clarify that application of DTC improves control accuracy on path tracking control. We also clarify that application of jitter buffer, which absorbs the transmission delay fluctuation, can further improve the accuracy.},
keywords={},
doi={10.1587/transcom.2021EBP3204},
ISSN={1745-1345},
month={November},}
부
TY - JOUR
TI - Effectiveness of Digital Twin Computing on Path Tracking Control of Unmanned Vehicle by Cloud Server
T2 - IEICE TRANSACTIONS on Communications
SP - 1424
EP - 1433
AU - Yudai YOSHIMOTO
AU - Taro WATANABE
AU - Ryohei NAKAMURA
AU - Hisaya HADAMA
PY - 2022
DO - 10.1587/transcom.2021EBP3204
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E105-B
IS - 11
JA - IEICE TRANSACTIONS on Communications
Y1 - November 2022
AB - With the rapid deployment of the Internet of Things, where various devices are connected to communication networks, remote driving applications for Unmanned Vehicles (UVs) are attracting attention. In addition to automobiles, autonomous driving technology is expected to be applied to various types of equipment, such as small vehicles equipped with surveillance cameras to monitor building internally and externally, autonomous vehicles that deliver office supplies, and wheelchairs. When a UV is remotely controlled, the control accuracy deteriorates due to transmission delay and jitter. The accuracy must be kept high to realize UV control system by a cloud server. In this study, we investigate the effectiveness of Digital Twin Computing (DTC) for path tracking control of a UV. We show the results of simulations that use transmission delay values measured on the Internet with some cloud servers. Through the results, we quantitatively clarify that application of DTC improves control accuracy on path tracking control. We also clarify that application of jitter buffer, which absorbs the transmission delay fluctuation, can further improve the accuracy.
ER -