AUV Adaptive Sampling Methods: A Review

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 be...

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Bibliographic Details
Published in:Applied sciences 2019-08, Vol.9 (15), p.3145
Main Authors: Hwang, Jimin, Bose, Neil, Fan, Shuangshuang
Format: Article
Language:English
Subjects:
Adaptive sampling
Algal blooms
Automation
autonomous underwater vehicle(s)
Autonomous underwater vehicles
Autonomy
Behavior
Eutrophication
in-situ sensors
maritime robotics
Oceans
Robotics
Robots
Sampling methods
sensor fusion
Sensors
underwater feature tracking
Vehicles
Vertical migrations
Water purification
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Summary: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.
ISSN:2076-3417
2076-3417
DOI:10.3390/app9153145