Clusters 3D Real-time Cooperative Positioning Algorithm in Underground Mines

Cunle Zhang; Yi Zhang; Chengkai Tang; Haonan Wang; Jiaming Zhang; Haobo Li

doi:10.1109/ICSPCC55723.2022.9984540

Clusters 3D Real-time Cooperative Positioning Algorithm in Underground Mines

Cunle Zhang, Yi Zhang, Chengkai Tang, Haonan Wang, Jiaming Zhang, Haobo Li

电子信息学院

Northwestern Polytechnical University Xian

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

摘要

Location service is becoming more and more important in modern large-scale mines, and its primary demand is large scale, high precision and fast speed. This paper proposes a real-time cooperative location method of three- dimensional factor graph to deal with large-scale user location to solve the problem of cluster target location, including mine height assistance strategy, information transmission criterion, factor graph confidence model and three-dimensional factor graph cooperative location algorithm. Simulation results show that the proposed algorithm is superior to other algorithms in positioning scale, accuracy and real-time performance.

源语言	英语
主期刊名	2022 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2022
出版商	Institute of Electrical and Electronics Engineers Inc.
ISBN（电子版）	9781665469722
DOI	https://doi.org/10.1109/ICSPCC55723.2022.9984540
出版状态	已出版 - 2022
活动	2022 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2022 - Xi'an, 中国期限: 25 10月 2022 → 27 10月 2022

出版系列

姓名	2022 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2022

会议

会议	2022 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2022
国家/地区	中国
市	Xi'an
时期	25/10/22 → 27/10/22

访问文件

10.1109/ICSPCC55723.2022.9984540

其它文件与链接

链接到 Scopus 的出版物

引用此

Zhang, C., Zhang, Y., Tang, C., Wang, H., Zhang, J., & Li, H. (2022). Clusters 3D Real-time Cooperative Positioning Algorithm in Underground Mines. 在 2022 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2022 (2022 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2022). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICSPCC55723.2022.9984540

Zhang, Cunle ; Zhang, Yi ; Tang, Chengkai 等. / Clusters 3D Real-time Cooperative Positioning Algorithm in Underground Mines. 2022 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2022. Institute of Electrical and Electronics Engineers Inc., 2022. (2022 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2022).

@inproceedings{ab8afb9bc84f48628dccc670201d59e0,

title = "Clusters 3D Real-time Cooperative Positioning Algorithm in Underground Mines",

abstract = "Location service is becoming more and more important in modern large-scale mines, and its primary demand is large scale, high precision and fast speed. This paper proposes a real-time cooperative location method of three- dimensional factor graph to deal with large-scale user location to solve the problem of cluster target location, including mine height assistance strategy, information transmission criterion, factor graph confidence model and three-dimensional factor graph cooperative location algorithm. Simulation results show that the proposed algorithm is superior to other algorithms in positioning scale, accuracy and real-time performance.",

keywords = "factor graph, real-time cooperation, three-dimensional positioning, underground mine",

author = "Cunle Zhang and Yi Zhang and Chengkai Tang and Haonan Wang and Jiaming Zhang and Haobo Li",

note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 2022 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2022 ; Conference date: 25-10-2022 Through 27-10-2022",

year = "2022",

doi = "10.1109/ICSPCC55723.2022.9984540",

language = "英语",

series = "2022 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2022",

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

booktitle = "2022 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2022",

}

Zhang, C, Zhang, Y, Tang, C, Wang, H, Zhang, J & Li, H 2022, Clusters 3D Real-time Cooperative Positioning Algorithm in Underground Mines. 在 2022 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2022. 2022 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2022, Institute of Electrical and Electronics Engineers Inc., 2022 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2022, Xi'an, 中国, 25/10/22. https://doi.org/10.1109/ICSPCC55723.2022.9984540

Clusters 3D Real-time Cooperative Positioning Algorithm in Underground Mines. / Zhang, Cunle; Zhang, Yi; Tang, Chengkai 等.
2022 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2022. Institute of Electrical and Electronics Engineers Inc., 2022. (2022 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2022).

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

TY - GEN

T1 - Clusters 3D Real-time Cooperative Positioning Algorithm in Underground Mines

AU - Zhang, Cunle

AU - Zhang, Yi

AU - Tang, Chengkai

AU - Wang, Haonan

AU - Zhang, Jiaming

AU - Li, Haobo

PY - 2022

Y1 - 2022

N2 - Location service is becoming more and more important in modern large-scale mines, and its primary demand is large scale, high precision and fast speed. This paper proposes a real-time cooperative location method of three- dimensional factor graph to deal with large-scale user location to solve the problem of cluster target location, including mine height assistance strategy, information transmission criterion, factor graph confidence model and three-dimensional factor graph cooperative location algorithm. Simulation results show that the proposed algorithm is superior to other algorithms in positioning scale, accuracy and real-time performance.

AB - Location service is becoming more and more important in modern large-scale mines, and its primary demand is large scale, high precision and fast speed. This paper proposes a real-time cooperative location method of three- dimensional factor graph to deal with large-scale user location to solve the problem of cluster target location, including mine height assistance strategy, information transmission criterion, factor graph confidence model and three-dimensional factor graph cooperative location algorithm. Simulation results show that the proposed algorithm is superior to other algorithms in positioning scale, accuracy and real-time performance.

KW - factor graph

KW - real-time cooperation

KW - three-dimensional positioning

KW - underground mine

UR - http://www.scopus.com/inward/record.url?scp=85146417264&partnerID=8YFLogxK

U2 - 10.1109/ICSPCC55723.2022.9984540

DO - 10.1109/ICSPCC55723.2022.9984540

M3 - 会议稿件

AN - SCOPUS:85146417264

T3 - 2022 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2022

BT - 2022 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2022

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2022 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2022

Y2 - 25 October 2022 through 27 October 2022

ER -

Zhang C, Zhang Y, Tang C, Wang H, Zhang J, Li H. Clusters 3D Real-time Cooperative Positioning Algorithm in Underground Mines. 在 2022 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2022. Institute of Electrical and Electronics Engineers Inc. 2022. (2022 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2022). doi: 10.1109/ICSPCC55723.2022.9984540

Clusters 3D Real-time Cooperative Positioning Algorithm in Underground Mines

摘要

出版系列

会议

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指纹

引用此