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Robotics 2016, 5(1), 4; doi:10.3390/robotics5010004

Sensor Fusion and Autonomy as a Powerful Combination for Biological Assessment in the Marine Environment

1
School of Marine Science and Policy, University of Delaware, 700 Pilottown Rd., Lewes, DE 19958, USA
2
College of Earth, Ocean and Atmospheric Sciences, Oregon State University, Corvallis, OH 97331, USA
*
Author to whom correspondence should be addressed.
Academic Editor: Huosheng Hu
Received: 30 September 2015 / Revised: 14 January 2016 / Accepted: 22 January 2016 / Published: 1 February 2016
(This article belongs to the Special Issue Underwater Robotics)
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Abstract

The ocean environment and the physical and biological processes that govern dynamics are complex. Sampling the ocean to better understand these processes is difficult given the temporal and spatial domains and sampling tools available. Biological systems are especially difficult as organisms possess behavior, operate at horizontal scales smaller than traditional shipboard sampling allows, and are often disturbed by the sampling platforms themselves. Sensors that measure biological processes have also generally not kept pace with the development of physical counterparts as their requirements are as complex as the target organisms. Here, we attempt to address this challenge by advocating the need for sensor-platform combinations to integrate and process data in real-time and develop data products that are useful in increasing sampling efficiencies. Too often, the data of interest is only garnered after post-processing after a sampling effort and the opportunity to use that information to guide sampling is lost. Here we demonstrate a new autonomous platform, where data are collected, analyzed, and data products are output in real-time to inform autonomous decision-making. This integrated capability allows for enhanced and informed sampling towards improving our understanding of the marine environment. View Full-Text
Keywords: sensor fusion; autonomy; biological assessment; underwater vehicles; marine; ocean; underwater acoustics sensor fusion; autonomy; biological assessment; underwater vehicles; marine; ocean; underwater acoustics
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Moline, M.A.; Benoit-Bird, K. Sensor Fusion and Autonomy as a Powerful Combination for Biological Assessment in the Marine Environment. Robotics 2016, 5, 4.

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