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 language | English |
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Title of host publication | Smart Computing and Communication - 4th International Conference, SmartCom 2019, Proceedings |
Editors | Meikang Qiu |
Publisher | Springer |
Pages | 34-41 |
Number of pages | 8 |
ISBN (Print) | 9783030341381 |
DOIs | |
Publication status | Published - 2019 |
Event | 4th International Conference on Smart Computing and Communications, SmartCom 2019 - Birmingham, United Kingdom Duration: 11 Oct 2019 → 13 Oct 2019 |
Publication series
Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
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Volume | 11910 LNCS |
ISSN (Print) | 0302-9743 |
ISSN (Electronic) | 1611-3349 |
Conference
Conference | 4th International Conference on Smart Computing and Communications, SmartCom 2019 |
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Country/Territory | United Kingdom |
City | Birmingham |
Period | 11/10/19 → 13/10/19 |
Keywords
- AUV
- Acoustic
- Coordinates
- Deviation
- Localization
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Yu, X., Wang, K., Zhang, Q., & Li, Y. (2019). A Quantified Accuracy Measurement Based Localization Algorithm for Autonomous Underwater Vehicles. In M. Qiu (Ed.), Smart Computing and Communication - 4th International Conference, SmartCom 2019, Proceedings (pp. 34-41). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11910 LNCS). Springer. https://doi.org/10.1007/978-3-030-34139-8_4