Urban Digital Twins for Intelligent Road Inspection

Rui Fan; Yikang Zhang; Sicen Guo; Jiahang Li; Yi Feng; Shuai Su; Yanting Zhang; Wenshuo Wang; Yu Jiang; Mohammud Junaid Bocus; Xingyi Zhu; Qijun Chen

doi:10.1109/BigData55660.2022.10021042

Urban Digital Twins for Intelligent Road Inspection

Rui Fan^*, Yikang Zhang, Sicen Guo, Jiahang Li, Yi Feng, Shuai Su, Yanting Zhang, Wenshuo Wang, Yu Jiang, Mohammud Junaid Bocus, Xingyi Zhu, Qijun Chen

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Citations (Scopus)

Abstract

Urban digital twin (UDT) technologies offer new opportunities for intelligent road inspection (IRI). This paper first reviews the state-of-the-art algorithms used in the two key components of UDT-based IRI systems: (1) multi-temporal, multi-dimension, multi-score, and heterogeneous road data acquisition, and (2) road distress detection. This paper then summarizes the UDTIRI competition, organized in conjunction with IEEE Bigdata 2022. More details on our competition are available at sites.google.com/view/udtiri-workshop/bigdata-2022.

Original language	English
Title of host publication	Proceedings - 2022 IEEE International Conference on Big Data, Big Data 2022
Editors	Shusaku Tsumoto, Yukio Ohsawa, Lei Chen, Dirk Van den Poel, Xiaohua Hu, Yoichi Motomura, Takuya Takagi, Lingfei Wu, Ying Xie, Akihiro Abe, Vijay Raghavan
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	5110-5114
Number of pages	5
ISBN (Electronic)	9781665480451
DOIs	https://doi.org/10.1109/BigData55660.2022.10021042
Publication status	Published - 2022
Externally published	Yes
Event	2022 IEEE International Conference on Big Data, Big Data 2022 - Osaka, Japan Duration: 17 Dec 2022 → 20 Dec 2022

Publication series

Name	Proceedings - 2022 IEEE International Conference on Big Data, Big Data 2022

Conference

Conference	2022 IEEE International Conference on Big Data, Big Data 2022
Country/Territory	Japan
City	Osaka
Period	17/12/22 → 20/12/22

Access to Document

10.1109/BigData55660.2022.10021042

Cite this

Fan, R., Zhang, Y., Guo, S., Li, J., Feng, Y., Su, S., Zhang, Y., Wang, W., Jiang, Y., Junaid Bocus, M., Zhu, X., & Chen, Q. (2022). Urban Digital Twins for Intelligent Road Inspection. In S. Tsumoto, Y. Ohsawa, L. Chen, D. Van den Poel, X. Hu, Y. Motomura, T. Takagi, L. Wu, Y. Xie, A. Abe, & V. Raghavan (Eds.), Proceedings - 2022 IEEE International Conference on Big Data, Big Data 2022 (pp. 5110-5114). (Proceedings - 2022 IEEE International Conference on Big Data, Big Data 2022). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/BigData55660.2022.10021042

Fan, Rui ; Zhang, Yikang ; Guo, Sicen et al. / Urban Digital Twins for Intelligent Road Inspection. Proceedings - 2022 IEEE International Conference on Big Data, Big Data 2022. editor / Shusaku Tsumoto ; Yukio Ohsawa ; Lei Chen ; Dirk Van den Poel ; Xiaohua Hu ; Yoichi Motomura ; Takuya Takagi ; Lingfei Wu ; Ying Xie ; Akihiro Abe ; Vijay Raghavan. Institute of Electrical and Electronics Engineers Inc., 2022. pp. 5110-5114 (Proceedings - 2022 IEEE International Conference on Big Data, Big Data 2022).

@inproceedings{736459dc708f486f8b9004e78ebecec9,

title = "Urban Digital Twins for Intelligent Road Inspection",

abstract = "Urban digital twin (UDT) technologies offer new opportunities for intelligent road inspection (IRI). This paper first reviews the state-of-the-art algorithms used in the two key components of UDT-based IRI systems: (1) multi-temporal, multi-dimension, multi-score, and heterogeneous road data acquisition, and (2) road distress detection. This paper then summarizes the UDTIRI competition, organized in conjunction with IEEE Bigdata 2022. More details on our competition are available at sites.google.com/view/udtiri-workshop/bigdata-2022.",

author = "Rui Fan and Yikang Zhang and Sicen Guo and Jiahang Li and Yi Feng and Shuai Su and Yanting Zhang and Wenshuo Wang and Yu Jiang and {Junaid Bocus}, Mohammud and Xingyi Zhu and Qijun Chen",

note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 2022 IEEE International Conference on Big Data, Big Data 2022 ; Conference date: 17-12-2022 Through 20-12-2022",

year = "2022",

doi = "10.1109/BigData55660.2022.10021042",

language = "English",

series = "Proceedings - 2022 IEEE International Conference on Big Data, Big Data 2022",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "5110--5114",

editor = "Shusaku Tsumoto and Yukio Ohsawa and Lei Chen and {Van den Poel}, Dirk and Xiaohua Hu and Yoichi Motomura and Takuya Takagi and Lingfei Wu and Ying Xie and Akihiro Abe and Vijay Raghavan",

booktitle = "Proceedings - 2022 IEEE International Conference on Big Data, Big Data 2022",

address = "United States",

}

Fan, R, Zhang, Y, Guo, S, Li, J, Feng, Y, Su, S, Zhang, Y, Wang, W, Jiang, Y, Junaid Bocus, M, Zhu, X & Chen, Q 2022, Urban Digital Twins for Intelligent Road Inspection. in S Tsumoto, Y Ohsawa, L Chen, D Van den Poel, X Hu, Y Motomura, T Takagi, L Wu, Y Xie, A Abe & V Raghavan (eds), Proceedings - 2022 IEEE International Conference on Big Data, Big Data 2022. Proceedings - 2022 IEEE International Conference on Big Data, Big Data 2022, Institute of Electrical and Electronics Engineers Inc., pp. 5110-5114, 2022 IEEE International Conference on Big Data, Big Data 2022, Osaka, Japan, 17/12/22. https://doi.org/10.1109/BigData55660.2022.10021042

Urban Digital Twins for Intelligent Road Inspection. / Fan, Rui; Zhang, Yikang; Guo, Sicen et al.
Proceedings - 2022 IEEE International Conference on Big Data, Big Data 2022. ed. / Shusaku Tsumoto; Yukio Ohsawa; Lei Chen; Dirk Van den Poel; Xiaohua Hu; Yoichi Motomura; Takuya Takagi; Lingfei Wu; Ying Xie; Akihiro Abe; Vijay Raghavan. Institute of Electrical and Electronics Engineers Inc., 2022. p. 5110-5114 (Proceedings - 2022 IEEE International Conference on Big Data, Big Data 2022).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Urban Digital Twins for Intelligent Road Inspection

AU - Fan, Rui

AU - Zhang, Yikang

AU - Guo, Sicen

AU - Li, Jiahang

AU - Feng, Yi

AU - Su, Shuai

AU - Zhang, Yanting

AU - Wang, Wenshuo

AU - Jiang, Yu

AU - Junaid Bocus, Mohammud

AU - Zhu, Xingyi

AU - Chen, Qijun

PY - 2022

Y1 - 2022

N2 - Urban digital twin (UDT) technologies offer new opportunities for intelligent road inspection (IRI). This paper first reviews the state-of-the-art algorithms used in the two key components of UDT-based IRI systems: (1) multi-temporal, multi-dimension, multi-score, and heterogeneous road data acquisition, and (2) road distress detection. This paper then summarizes the UDTIRI competition, organized in conjunction with IEEE Bigdata 2022. More details on our competition are available at sites.google.com/view/udtiri-workshop/bigdata-2022.

AB - Urban digital twin (UDT) technologies offer new opportunities for intelligent road inspection (IRI). This paper first reviews the state-of-the-art algorithms used in the two key components of UDT-based IRI systems: (1) multi-temporal, multi-dimension, multi-score, and heterogeneous road data acquisition, and (2) road distress detection. This paper then summarizes the UDTIRI competition, organized in conjunction with IEEE Bigdata 2022. More details on our competition are available at sites.google.com/view/udtiri-workshop/bigdata-2022.

UR - http://www.scopus.com/inward/record.url?scp=85147943051&partnerID=8YFLogxK

U2 - 10.1109/BigData55660.2022.10021042

DO - 10.1109/BigData55660.2022.10021042

M3 - Conference contribution

AN - SCOPUS:85147943051

T3 - Proceedings - 2022 IEEE International Conference on Big Data, Big Data 2022

SP - 5110

EP - 5114

BT - Proceedings - 2022 IEEE International Conference on Big Data, Big Data 2022

A2 - Tsumoto, Shusaku

A2 - Ohsawa, Yukio

A2 - Chen, Lei

A2 - Van den Poel, Dirk

A2 - Hu, Xiaohua

A2 - Motomura, Yoichi

A2 - Takagi, Takuya

A2 - Wu, Lingfei

A2 - Xie, Ying

A2 - Abe, Akihiro

A2 - Raghavan, Vijay

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2022 IEEE International Conference on Big Data, Big Data 2022

Y2 - 17 December 2022 through 20 December 2022

ER -

Fan R, Zhang Y, Guo S, Li J, Feng Y, Su S et al. Urban Digital Twins for Intelligent Road Inspection. In Tsumoto S, Ohsawa Y, Chen L, Van den Poel D, Hu X, Motomura Y, Takagi T, Wu L, Xie Y, Abe A, Raghavan V, editors, Proceedings - 2022 IEEE International Conference on Big Data, Big Data 2022. Institute of Electrical and Electronics Engineers Inc. 2022. p. 5110-5114. (Proceedings - 2022 IEEE International Conference on Big Data, Big Data 2022). doi: 10.1109/BigData55660.2022.10021042

Urban Digital Twins for Intelligent Road Inspection

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