A Quantified Accuracy Measurement Based Localization Algorithm for Autonomous Underwater Vehicles

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

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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.

Original languageEnglish
Title of host publicationSmart Computing and Communication - 4th International Conference, SmartCom 2019, Proceedings
EditorsMeikang Qiu
PublisherSpringer
Pages34-41
Number of pages8
ISBN (Print)9783030341381
DOIs
Publication statusPublished - 2019
Event4th International Conference on Smart Computing and Communications, SmartCom 2019 - Birmingham, United Kingdom
Duration: 11 Oct 201913 Oct 2019

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11910 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference4th International Conference on Smart Computing and Communications, SmartCom 2019
Country/TerritoryUnited Kingdom
CityBirmingham
Period11/10/1913/10/19

Keywords

  • AUV
  • Acoustic
  • Coordinates
  • Deviation
  • Localization

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