Acoustic-Based Techniques for Autonomous Underwater Vehicle Localization

This paper presents two acoustic-based techniques to solve the localization problem for an autonomous underwater vehicle (AUV). After a brief description of the Bayesian filtering framework, the paper analyses two of the most common underwater scenarios. Each scenario corresponds to one of the two l...

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Veröffentlicht in:Proceedings of the Institution of Mechanical Engineers. Part M, Journal of engineering for the maritime environment Journal of engineering for the maritime environment, 2010-11, Vol.224 (4), p.293-307
Hauptverfasser: Petillot, Y, Maurelli, F, Valeyrie, N, Mallios, A, Ridao, P, Aulinas, J, Salvi, J
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container_issue 4
container_start_page 293
container_title Proceedings of the Institution of Mechanical Engineers. Part M, Journal of engineering for the maritime environment
container_volume 224
creator Petillot, Y
Maurelli, F
Valeyrie, N
Mallios, A
Ridao, P
Aulinas, J
Salvi, J
description This paper presents two acoustic-based techniques to solve the localization problem for an autonomous underwater vehicle (AUV). After a brief description of the Bayesian filtering framework, the paper analyses two of the most common underwater scenarios. Each scenario corresponds to one of the two localization techniques. The scenarios are as follows: map-based localization, when the environment is sufficiently distinctive; transponder-based localization for navigation in large and not distinctive environments. An environment is said to be distinctive when there are possible reference points. For example, a completely flat featureless sea floor is not considered as distinctive. The proposed techniques were validated in simulation. The map-based localization technique was also validated in trials with the autonomous underwater vehicles Ictineu and Nessie IV. The trials with Ictineu took place in an abandoned marina with Ictineu travelling along a trajectory that was more than 600 m long. The trials with Nessie IV took place in a rectangular pool and during an AUV competition.
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subjects Acoustics
Autonomous underwater vehicles
Bayesian analysis
Bayesian theory
Flow velocity
Localization
Naval engineering
Navigation systems
Ocean floor
Oceanography
Underwater exploration
Underwater vehicles
title Acoustic-Based Techniques for Autonomous Underwater Vehicle Localization
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