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

School of Electronics and Information

Northwestern Polytechnical University Xian

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

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.

Original language	English
Title of host publication	2022 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2022
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781665469722
DOIs	https://doi.org/10.1109/ICSPCC55723.2022.9984540
State	Published - 2022
Event	2022 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2022 - Xi'an, China Duration: 25 Oct 2022 → 27 Oct 2022

Publication series

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

Conference

Conference	2022 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2022
Country/Territory	China
City	Xi'an
Period	25/10/22 → 27/10/22

Keywords

factor graph
real-time cooperation
three-dimensional positioning
underground mine

Access to Document

10.1109/ICSPCC55723.2022.9984540

Cite this

Zhang, C., Zhang, Y., Tang, C., Wang, H., Zhang, J., & Li, H. (2022). Clusters 3D Real-time Cooperative Positioning Algorithm in Underground Mines. In 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 et al. / 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. in 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, China, 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 et al.
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).

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

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. In 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

Abstract

Publication series

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Cite this