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AUV adaptive sampling methods: a review

Hwang, J ORCID: 0000-0002-9641-0631, Bose, N ORCID: 0000-0002-6444-0756 and Fan, S 2019 , 'AUV adaptive sampling methods: a review' , Applied Sciences, vol. 9, no. 15 , doi:

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Autonomous underwater vehicles (AUVs) are unmanned marine robots that have beenused for a broad range of oceanographic missions. They are programmed to perform at various levelsof autonomy, including autonomous behaviours and intelligent behaviours. Adaptive sampling isone class of intelligent behaviour that allows the vehicle to autonomously make decisions during amission in response to environment changes and vehicle state changes. Having a closed-loop controlarchitecture, an AUV can perceive the environment, interpret the data and take follow-up measures.Thus, the mission plan can be modified, sampling criteria can be adjusted, and target features canbe traced. This paper presents an overview of existing adaptive sampling techniques. Includedare adaptive mission uses and underlying methods for perception, interpretation and reaction tounderwater phenomena in AUV operations. The potential for future research in adaptive missionsis discussed.

Item Type: Article
Authors/Creators:Hwang, J and Bose, N and Fan, S
Keywords: autonomous underwater vehicle (AUV), adaptive sampling, oil spill delineation, maritime robotics, underwater feature tracking, in-situ sensors, sensor fusion
Journal or Publication Title: Applied Sciences
Publisher: MDPI AG
ISSN: 2076-3417
DOI / ID Number:
Copyright Information:

Copyright 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license

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