A Quantified Accuracy Measurement Based Localization Algorithm for Autonomous Underwater Vehicles

Xiao Yu; Kunqing Wang; Quanxin Zhang; Yuanzhang Li

doi:10.1007/978-3-030-34139-8_4

A Quantified Accuracy Measurement Based Localization Algorithm for Autonomous Underwater Vehicles

Xiao Yu, Kunqing Wang^*, Quanxin Zhang, Yuanzhang Li

^*此作品的通讯作者

计算机学院

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

摘要

A quantified accuracy measurement based AUV localization algorithm which employs cooperation among multiple AUVs is proposed. With cooperative communication, AUVs with high location accuracies can help to improve the localization accuracy of AUVs with currently low location accuracies. The average updating time via GPS and deviation distance are measured. Simulation results show that the proposed localization algorithm improves the localization accuracy and reducing the location updating frequency for AUVs. Besides, it helps to prolong the AUV lifetime.

源语言	英语
主期刊名	Smart Computing and Communication - 4th International Conference, SmartCom 2019, Proceedings
编辑	Meikang Qiu
出版商	Springer
页	34-41
页数	8
ISBN（印刷版）	9783030341381
DOI	https://doi.org/10.1007/978-3-030-34139-8_4
出版状态	已出版 - 2019
活动	4th International Conference on Smart Computing and Communications, SmartCom 2019 - Birmingham, 英国期限: 11 10月 2019 → 13 10月 2019

出版系列

姓名	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
卷	11910 LNCS
ISSN（印刷版）	0302-9743
ISSN（电子版）	1611-3349

会议

会议	4th International Conference on Smart Computing and Communications, SmartCom 2019
国家/地区	英国
市	Birmingham
时期	11/10/19 → 13/10/19

访问文件

10.1007/978-3-030-34139-8_4

其它文件与链接

链接到 Scopus 的出版物

引用此

Yu, X., Wang, K., Zhang, Q., & Li, Y. (2019). A Quantified Accuracy Measurement Based Localization Algorithm for Autonomous Underwater Vehicles. 在 M. Qiu (编辑), Smart Computing and Communication - 4th International Conference, SmartCom 2019, Proceedings (页码 34-41). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 卷 11910 LNCS). Springer. https://doi.org/10.1007/978-3-030-34139-8_4

Yu, Xiao ; Wang, Kunqing ; Zhang, Quanxin 等. / A Quantified Accuracy Measurement Based Localization Algorithm for Autonomous Underwater Vehicles. Smart Computing and Communication - 4th International Conference, SmartCom 2019, Proceedings. 编辑 / Meikang Qiu. Springer, 2019. 页码 34-41 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{437968a7f3c847feb368a12c8841a15d,

title = "A Quantified Accuracy Measurement Based Localization Algorithm for Autonomous Underwater Vehicles",

abstract = "A quantified accuracy measurement based AUV localization algorithm which employs cooperation among multiple AUVs is proposed. With cooperative communication, AUVs with high location accuracies can help to improve the localization accuracy of AUVs with currently low location accuracies. The average updating time via GPS and deviation distance are measured. Simulation results show that the proposed localization algorithm improves the localization accuracy and reducing the location updating frequency for AUVs. Besides, it helps to prolong the AUV lifetime.",

keywords = "AUV, Acoustic, Coordinates, Deviation, Localization",

author = "Xiao Yu and Kunqing Wang and Quanxin Zhang and Yuanzhang Li",

note = "Publisher Copyright: {\textcopyright} 2019, Springer Nature Switzerland AG.; 4th International Conference on Smart Computing and Communications, SmartCom 2019 ; Conference date: 11-10-2019 Through 13-10-2019",

year = "2019",

doi = "10.1007/978-3-030-34139-8_4",

language = "English",

isbn = "9783030341381",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer",

pages = "34--41",

editor = "Meikang Qiu",

booktitle = "Smart Computing and Communication - 4th International Conference, SmartCom 2019, Proceedings",

address = "Germany",

}

Yu, X, Wang, K, Zhang, Q & Li, Y 2019, A Quantified Accuracy Measurement Based Localization Algorithm for Autonomous Underwater Vehicles. 在 M Qiu (编辑), Smart Computing and Communication - 4th International Conference, SmartCom 2019, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 卷 11910 LNCS, Springer, 页码 34-41, 4th International Conference on Smart Computing and Communications, SmartCom 2019, Birmingham, 英国, 11/10/19. https://doi.org/10.1007/978-3-030-34139-8_4

A Quantified Accuracy Measurement Based Localization Algorithm for Autonomous Underwater Vehicles. / Yu, Xiao; Wang, Kunqing; Zhang, Quanxin 等.
Smart Computing and Communication - 4th International Conference, SmartCom 2019, Proceedings. 编辑 / Meikang Qiu. Springer, 2019. 页码 34-41 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 卷 11910 LNCS).

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

TY - GEN

T1 - A Quantified Accuracy Measurement Based Localization Algorithm for Autonomous Underwater Vehicles

AU - Yu, Xiao

AU - Wang, Kunqing

AU - Zhang, Quanxin

AU - Li, Yuanzhang

PY - 2019

Y1 - 2019

N2 - A quantified accuracy measurement based AUV localization algorithm which employs cooperation among multiple AUVs is proposed. With cooperative communication, AUVs with high location accuracies can help to improve the localization accuracy of AUVs with currently low location accuracies. The average updating time via GPS and deviation distance are measured. Simulation results show that the proposed localization algorithm improves the localization accuracy and reducing the location updating frequency for AUVs. Besides, it helps to prolong the AUV lifetime.

AB - A quantified accuracy measurement based AUV localization algorithm which employs cooperation among multiple AUVs is proposed. With cooperative communication, AUVs with high location accuracies can help to improve the localization accuracy of AUVs with currently low location accuracies. The average updating time via GPS and deviation distance are measured. Simulation results show that the proposed localization algorithm improves the localization accuracy and reducing the location updating frequency for AUVs. Besides, it helps to prolong the AUV lifetime.

KW - AUV

KW - Acoustic

KW - Coordinates

KW - Deviation

KW - Localization

UR - http://www.scopus.com/inward/record.url?scp=85076167026&partnerID=8YFLogxK

U2 - 10.1007/978-3-030-34139-8_4

DO - 10.1007/978-3-030-34139-8_4

M3 - Conference contribution

AN - SCOPUS:85076167026

SN - 9783030341381

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 34

EP - 41

BT - Smart Computing and Communication - 4th International Conference, SmartCom 2019, Proceedings

A2 - Qiu, Meikang

PB - Springer

T2 - 4th International Conference on Smart Computing and Communications, SmartCom 2019

Y2 - 11 October 2019 through 13 October 2019

ER -

Yu X, Wang K, Zhang Q, Li Y. A Quantified Accuracy Measurement Based Localization Algorithm for Autonomous Underwater Vehicles. 在 Qiu M, 编辑, Smart Computing and Communication - 4th International Conference, SmartCom 2019, Proceedings. Springer. 2019. 页码 34-41. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-030-34139-8_4

A Quantified Accuracy Measurement Based Localization Algorithm for Autonomous Underwater Vehicles

摘要

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