A Review on Optimal Placement of Sensors for Cooperative Localization of AUVs

Joint Authors

Bo, Xu
Razzaqi, Asghar A.
Farid, Ghulam

Source

Journal of Sensors

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

Civil Engineering

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