Collaborative Self-Localization and Target Tracking under Sparse Communication

Yang Lyu; Quan Pan; Jinwen Hu; Chunhui Zhao; Zhuoyi Li; Houxin Zhang

doi:10.1109/ICARCV.2018.8581073

Collaborative Self-Localization and Target Tracking under Sparse Communication

Yang Lyu, Quan Pan, Jinwen Hu, Chunhui Zhao, Zhuoyi Li, Houxin Zhang

Northwestern Polytechnical University Xian

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

1 Scopus citations

Abstract

The problem of collaborative self-localization and target tracking method under challenge environment is studied in this paper. Specifically, the scenario with general nonlinear process and sensing model as well as sparse communication is considered by combining the distributed tracking (DT) and the collaborative localization (CL) techniques. To better characterize the statistics after nonlinear transformations, the unscented transformation (UT) approach is adopted. Simulations are extensively studied to show that the proposed method have better performance on both self-localization and target tracking than the solo CL or DT method.

Original language	English
Title of host publication	2018 15th International Conference on Control, Automation, Robotics and Vision, ICARCV 2018
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	2020-2025
Number of pages	6
ISBN (Electronic)	9781538695821
DOIs	https://doi.org/10.1109/ICARCV.2018.8581073
State	Published - 18 Dec 2018
Event	15th International Conference on Control, Automation, Robotics and Vision, ICARCV 2018 - Singapore, Singapore Duration: 18 Nov 2018 → 21 Nov 2018

Publication series

Name	2018 15th International Conference on Control, Automation, Robotics and Vision, ICARCV 2018

Conference

Conference	15th International Conference on Control, Automation, Robotics and Vision, ICARCV 2018
Country/Territory	Singapore
City	Singapore
Period	18/11/18 → 21/11/18

Access to Document

10.1109/ICARCV.2018.8581073

Cite this

Lyu, Y., Pan, Q., Hu, J., Zhao, C., Li, Z., & Zhang, H. (2018). Collaborative Self-Localization and Target Tracking under Sparse Communication. In 2018 15th International Conference on Control, Automation, Robotics and Vision, ICARCV 2018 (pp. 2020-2025). Article 8581073 (2018 15th International Conference on Control, Automation, Robotics and Vision, ICARCV 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICARCV.2018.8581073

Lyu, Yang ; Pan, Quan ; Hu, Jinwen et al. / Collaborative Self-Localization and Target Tracking under Sparse Communication. 2018 15th International Conference on Control, Automation, Robotics and Vision, ICARCV 2018. Institute of Electrical and Electronics Engineers Inc., 2018. pp. 2020-2025 (2018 15th International Conference on Control, Automation, Robotics and Vision, ICARCV 2018).

@inproceedings{fa4bf8a3dd914e9a931aef8d8d6bfce8,

title = "Collaborative Self-Localization and Target Tracking under Sparse Communication",

abstract = "The problem of collaborative self-localization and target tracking method under challenge environment is studied in this paper. Specifically, the scenario with general nonlinear process and sensing model as well as sparse communication is considered by combining the distributed tracking (DT) and the collaborative localization (CL) techniques. To better characterize the statistics after nonlinear transformations, the unscented transformation (UT) approach is adopted. Simulations are extensively studied to show that the proposed method have better performance on both self-localization and target tracking than the solo CL or DT method.",

author = "Yang Lyu and Quan Pan and Jinwen Hu and Chunhui Zhao and Zhuoyi Li and Houxin Zhang",

note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 15th International Conference on Control, Automation, Robotics and Vision, ICARCV 2018 ; Conference date: 18-11-2018 Through 21-11-2018",

year = "2018",

month = dec,

day = "18",

doi = "10.1109/ICARCV.2018.8581073",

language = "英语",

series = "2018 15th International Conference on Control, Automation, Robotics and Vision, ICARCV 2018",

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

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booktitle = "2018 15th International Conference on Control, Automation, Robotics and Vision, ICARCV 2018",

}

Lyu, Y , Pan, Q , Hu, J , Zhao, C, Li, Z & Zhang, H 2018, Collaborative Self-Localization and Target Tracking under Sparse Communication. in 2018 15th International Conference on Control, Automation, Robotics and Vision, ICARCV 2018., 8581073, 2018 15th International Conference on Control, Automation, Robotics and Vision, ICARCV 2018, Institute of Electrical and Electronics Engineers Inc., pp. 2020-2025, 15th International Conference on Control, Automation, Robotics and Vision, ICARCV 2018, Singapore, Singapore, 18/11/18. https://doi.org/10.1109/ICARCV.2018.8581073

Collaborative Self-Localization and Target Tracking under Sparse Communication. / Lyu, Yang ; Pan, Quan ; Hu, Jinwen et al.
2018 15th International Conference on Control, Automation, Robotics and Vision, ICARCV 2018. Institute of Electrical and Electronics Engineers Inc., 2018. p. 2020-2025 8581073 (2018 15th International Conference on Control, Automation, Robotics and Vision, ICARCV 2018).

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

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AU - Pan, Quan

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AU - Zhao, Chunhui

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AU - Zhang, Houxin

PY - 2018/12/18

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AB - The problem of collaborative self-localization and target tracking method under challenge environment is studied in this paper. Specifically, the scenario with general nonlinear process and sensing model as well as sparse communication is considered by combining the distributed tracking (DT) and the collaborative localization (CL) techniques. To better characterize the statistics after nonlinear transformations, the unscented transformation (UT) approach is adopted. Simulations are extensively studied to show that the proposed method have better performance on both self-localization and target tracking than the solo CL or DT method.

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M3 - 会议稿件

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T3 - 2018 15th International Conference on Control, Automation, Robotics and Vision, ICARCV 2018

SP - 2020

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BT - 2018 15th International Conference on Control, Automation, Robotics and Vision, ICARCV 2018

PB - Institute of Electrical and Electronics Engineers Inc.

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Lyu Y , Pan Q , Hu J , Zhao C, Li Z, Zhang H. Collaborative Self-Localization and Target Tracking under Sparse Communication. In 2018 15th International Conference on Control, Automation, Robotics and Vision, ICARCV 2018. Institute of Electrical and Electronics Engineers Inc. 2018. p. 2020-2025. 8581073. (2018 15th International Conference on Control, Automation, Robotics and Vision, ICARCV 2018). doi: 10.1109/ICARCV.2018.8581073

Collaborative Self-Localization and Target Tracking under Sparse Communication

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