Intelligent level evaluation method of the self-driving vehicle based on CRITIC-cloud model

Yuhang Liu; Yangming Guo; Huixin Li; Junsheng Peng; Chao Yang

doi:10.1109/ICIEA58696.2023.10241396

Intelligent level evaluation method of the self-driving vehicle based on CRITIC-cloud model

Yuhang Liu, Yangming Guo, Huixin Li, Junsheng Peng, Chao Yang

School of Cybersecurity

Northwestern Polytechnical University Xian

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

Abstract

In order to evaluate the intelligence level of self-driving vehicles, a based CRITIC-cloud model is proposed. The intelligence level evaluation index system is established from perception, planning, and control. The CRITIC weight method is used to assign weights to each evaluation index. Taking advantage of the excellent advantages of the cloud model that can perform a good conversion between qualitative concepts and their corresponding quantitative data, the data displayed by self-driving vehicle for running process is transformed into a more intuitive and visual concept of intelligence level through a cloud model, The expectation, entropy and hyper entropy of the cloud model are used for qualitative evaluation of the self-driving vehicle, to establish a qualitative to quantitative evaluation model, which provides a judgment for the self-driving vehicle.

Original language	English
Title of host publication	Proceedings of the 18th IEEE Conference on Industrial Electronics and Applications, ICIEA 2023
Editors	Wenjian Cai, Guilin Yang, Jun Qiu, Tingting Gao, Lijun Jiang, Tianjiang Zheng, Xinli Wang
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	693-698
Number of pages	6
ISBN (Electronic)	9798350312201
DOIs	https://doi.org/10.1109/ICIEA58696.2023.10241396
State	Published - 2023
Event	18th IEEE Conference on Industrial Electronics and Applications, ICIEA 2023 - Ningbo, China Duration: 18 Aug 2023 → 22 Aug 2023

Publication series

Name	Proceedings of the 18th IEEE Conference on Industrial Electronics and Applications, ICIEA 2023

Conference

Conference	18th IEEE Conference on Industrial Electronics and Applications, ICIEA 2023
Country/Territory	China
City	Ningbo
Period	18/08/23 → 22/08/23

Keywords

cloud model
evaluation
self-driving vehicles

Access to Document

10.1109/ICIEA58696.2023.10241396

Cite this

Liu, Y., Guo, Y., Li, H., Peng, J., & Yang, C. (2023). Intelligent level evaluation method of the self-driving vehicle based on CRITIC-cloud model. In W. Cai, G. Yang, J. Qiu, T. Gao, L. Jiang, T. Zheng, & X. Wang (Eds.), Proceedings of the 18th IEEE Conference on Industrial Electronics and Applications, ICIEA 2023 (pp. 693-698). (Proceedings of the 18th IEEE Conference on Industrial Electronics and Applications, ICIEA 2023). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICIEA58696.2023.10241396

Liu, Yuhang ; Guo, Yangming ; Li, Huixin et al. / Intelligent level evaluation method of the self-driving vehicle based on CRITIC-cloud model. Proceedings of the 18th IEEE Conference on Industrial Electronics and Applications, ICIEA 2023. editor / Wenjian Cai ; Guilin Yang ; Jun Qiu ; Tingting Gao ; Lijun Jiang ; Tianjiang Zheng ; Xinli Wang. Institute of Electrical and Electronics Engineers Inc., 2023. pp. 693-698 (Proceedings of the 18th IEEE Conference on Industrial Electronics and Applications, ICIEA 2023).

@inproceedings{f6b4a57397194974bc57e76f41b69507,

title = "Intelligent level evaluation method of the self-driving vehicle based on CRITIC-cloud model",

abstract = "In order to evaluate the intelligence level of self-driving vehicles, a based CRITIC-cloud model is proposed. The intelligence level evaluation index system is established from perception, planning, and control. The CRITIC weight method is used to assign weights to each evaluation index. Taking advantage of the excellent advantages of the cloud model that can perform a good conversion between qualitative concepts and their corresponding quantitative data, the data displayed by self-driving vehicle for running process is transformed into a more intuitive and visual concept of intelligence level through a cloud model, The expectation, entropy and hyper entropy of the cloud model are used for qualitative evaluation of the self-driving vehicle, to establish a qualitative to quantitative evaluation model, which provides a judgment for the self-driving vehicle.",

keywords = "cloud model, evaluation, self-driving vehicles",

author = "Yuhang Liu and Yangming Guo and Huixin Li and Junsheng Peng and Chao Yang",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 18th IEEE Conference on Industrial Electronics and Applications, ICIEA 2023 ; Conference date: 18-08-2023 Through 22-08-2023",

year = "2023",

doi = "10.1109/ICIEA58696.2023.10241396",

language = "英语",

series = "Proceedings of the 18th IEEE Conference on Industrial Electronics and Applications, ICIEA 2023",

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

pages = "693--698",

editor = "Wenjian Cai and Guilin Yang and Jun Qiu and Tingting Gao and Lijun Jiang and Tianjiang Zheng and Xinli Wang",

booktitle = "Proceedings of the 18th IEEE Conference on Industrial Electronics and Applications, ICIEA 2023",

}

Liu, Y, Guo, Y, Li, H, Peng, J & Yang, C 2023, Intelligent level evaluation method of the self-driving vehicle based on CRITIC-cloud model. in W Cai, G Yang, J Qiu, T Gao, L Jiang, T Zheng & X Wang (eds), Proceedings of the 18th IEEE Conference on Industrial Electronics and Applications, ICIEA 2023. Proceedings of the 18th IEEE Conference on Industrial Electronics and Applications, ICIEA 2023, Institute of Electrical and Electronics Engineers Inc., pp. 693-698, 18th IEEE Conference on Industrial Electronics and Applications, ICIEA 2023, Ningbo, China, 18/08/23. https://doi.org/10.1109/ICIEA58696.2023.10241396

Intelligent level evaluation method of the self-driving vehicle based on CRITIC-cloud model. / Liu, Yuhang; Guo, Yangming; Li, Huixin et al.
Proceedings of the 18th IEEE Conference on Industrial Electronics and Applications, ICIEA 2023. ed. / Wenjian Cai; Guilin Yang; Jun Qiu; Tingting Gao; Lijun Jiang; Tianjiang Zheng; Xinli Wang. Institute of Electrical and Electronics Engineers Inc., 2023. p. 693-698 (Proceedings of the 18th IEEE Conference on Industrial Electronics and Applications, ICIEA 2023).

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

TY - GEN

T1 - Intelligent level evaluation method of the self-driving vehicle based on CRITIC-cloud model

AU - Liu, Yuhang

AU - Guo, Yangming

AU - Li, Huixin

AU - Peng, Junsheng

AU - Yang, Chao

PY - 2023

Y1 - 2023

N2 - In order to evaluate the intelligence level of self-driving vehicles, a based CRITIC-cloud model is proposed. The intelligence level evaluation index system is established from perception, planning, and control. The CRITIC weight method is used to assign weights to each evaluation index. Taking advantage of the excellent advantages of the cloud model that can perform a good conversion between qualitative concepts and their corresponding quantitative data, the data displayed by self-driving vehicle for running process is transformed into a more intuitive and visual concept of intelligence level through a cloud model, The expectation, entropy and hyper entropy of the cloud model are used for qualitative evaluation of the self-driving vehicle, to establish a qualitative to quantitative evaluation model, which provides a judgment for the self-driving vehicle.

AB - In order to evaluate the intelligence level of self-driving vehicles, a based CRITIC-cloud model is proposed. The intelligence level evaluation index system is established from perception, planning, and control. The CRITIC weight method is used to assign weights to each evaluation index. Taking advantage of the excellent advantages of the cloud model that can perform a good conversion between qualitative concepts and their corresponding quantitative data, the data displayed by self-driving vehicle for running process is transformed into a more intuitive and visual concept of intelligence level through a cloud model, The expectation, entropy and hyper entropy of the cloud model are used for qualitative evaluation of the self-driving vehicle, to establish a qualitative to quantitative evaluation model, which provides a judgment for the self-driving vehicle.

KW - cloud model

KW - evaluation

KW - self-driving vehicles

UR - http://www.scopus.com/inward/record.url?scp=85173615502&partnerID=8YFLogxK

U2 - 10.1109/ICIEA58696.2023.10241396

DO - 10.1109/ICIEA58696.2023.10241396

M3 - 会议稿件

AN - SCOPUS:85173615502

T3 - Proceedings of the 18th IEEE Conference on Industrial Electronics and Applications, ICIEA 2023

SP - 693

EP - 698

BT - Proceedings of the 18th IEEE Conference on Industrial Electronics and Applications, ICIEA 2023

A2 - Cai, Wenjian

A2 - Yang, Guilin

A2 - Qiu, Jun

A2 - Gao, Tingting

A2 - Jiang, Lijun

A2 - Zheng, Tianjiang

A2 - Wang, Xinli

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 18th IEEE Conference on Industrial Electronics and Applications, ICIEA 2023

Y2 - 18 August 2023 through 22 August 2023

ER -

Liu Y, Guo Y, Li H, Peng J, Yang C. Intelligent level evaluation method of the self-driving vehicle based on CRITIC-cloud model. In Cai W, Yang G, Qiu J, Gao T, Jiang L, Zheng T, Wang X, editors, Proceedings of the 18th IEEE Conference on Industrial Electronics and Applications, ICIEA 2023. Institute of Electrical and Electronics Engineers Inc. 2023. p. 693-698. (Proceedings of the 18th IEEE Conference on Industrial Electronics and Applications, ICIEA 2023). doi: 10.1109/ICIEA58696.2023.10241396

Intelligent level evaluation method of the self-driving vehicle based on CRITIC-cloud model

Abstract

Publication series

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Cite this