142001-AUV adaptive sampling methods a review.pdf (1.27 MB)
AUV adaptive sampling methods: a review
journal contributionposted on 2023-05-20, 19:42 authored by Hwang, J, Neil Bose, Fan, S
Autonomous underwater vehicles (AUVs) are unmanned marine robots that have been used for a broad range of oceanographic missions. They are programmed to perform at various levels of autonomy, including autonomous behaviours and intelligent behaviours. Adaptive sampling is one class of intelligent behaviour that allows the vehicle to autonomously make decisions during a mission in response to environment changes and vehicle state changes. Having a closed-loop control architecture, 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 can be traced. This paper presents an overview of existing adaptive sampling techniques. Included are adaptive mission uses and underlying methods for perception, interpretation and reaction to underwater phenomena in AUV operations. The potential for future research in adaptive missions is discussed.
Publication titleApplied Sciences
Department/SchoolAustralian Maritime College
Place of publicationSwitzerland
Rights statementCopyright 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 http://creativecommons.org/licenses/by/4.0/).
Socio-economic ObjectivesIntelligence, surveillance and space; Rehabilitation or conservation of fresh, ground and surface water environments