IEICE TRANSACTIONS on Communications
Effectiveness of Digital Twin Computing on Path Tracking Control of Unmanned Vehicle by Cloud Server
Summary :
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.
- Publication
- IEICE TRANSACTIONS on Communications Vol.E105-B No.11 pp.1424-1433
- Publication Date
- 2022/11/01
- Publicized
- 2022/05/11
- Online ISSN
- 1745-1345
- DOI
- 10.1587/transcom.2021EBP3204
- Type of Manuscript
- PAPER
- Category
- Internet
Authors
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
Keyword
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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
Copy
@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},}
Copy
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 -
English
