A Review on Optimal Placement of Sensors for Cooperative Localization of AUVs
Joint Authors
Bo, Xu
Razzaqi, Asghar A.
Farid, Ghulam
Source
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-07-30
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
Self-positioning of submerged Autonomous Underwater Vehicles (AUVs) is a challenging task due to nonavailability of GPS signals.
One of the most recent solutions for this is the use of surface vehicles (sensors) for cooperative localization of the underwater vehicles (targets) by measuring their relative positions.
However, correct placement of the surface sensors is very critical as their geometric configuration affects their observability and hence availability of their relative positions information to the targets.
In this paper, a comparative survey of sensors’ optimal formation techniques for cooperative localization of AUVs has been presented.
Introduction to the basic cooperative localization techniques and background theory of optimal sensor placements have been provided.
This paper can also serve as a fundamental reading material for students and researchers pursuing research on optimal sensor placement for cooperative localization.
American Psychological Association (APA)
Bo, Xu& Razzaqi, Asghar A.& Farid, Ghulam. 2019. A Review on Optimal Placement of Sensors for Cooperative Localization of AUVs. Journal of Sensors،Vol. 2019, no. 2019, pp.1-12.
https://search.emarefa.net/detail/BIM-1187643
Modern Language Association (MLA)
Bo, Xu…[et al.]. A Review on Optimal Placement of Sensors for Cooperative Localization of AUVs. Journal of Sensors No. 2019 (2019), pp.1-12.
https://search.emarefa.net/detail/BIM-1187643
American Medical Association (AMA)
Bo, Xu& Razzaqi, Asghar A.& Farid, Ghulam. A Review on Optimal Placement of Sensors for Cooperative Localization of AUVs. Journal of Sensors. 2019. Vol. 2019, no. 2019, pp.1-12.
https://search.emarefa.net/detail/BIM-1187643
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1187643