TY - JOUR

T1 - Tracking the Fine Scale Movements of Fish using Autonomous Maritime Robotics: A Systematic State of the Art Review

AU - Nash, John Zachary

AU - Teahan, William

AU - Bond, Jenny

AU - McCarthy, Ian

AU - Pierce, Iestyn

AU - Case, Michael

AU - Mowat, Ryan

PY - 2021/6/1

Y1 - 2021/6/1

N2 - This paper provides a systematic state of the art review on tracking the fine scale movements of fish with the use of autonomous maritime robotics. Knowledge of migration patterns and the localization of specific species of fish at a given time is vital to many aspects of conservation. This paper reviews these technologies and provides insight into what systems are being used and why. The review results show that a larger amount of complex systems that use a deep learning techniques are used over more simplistic approaches to the design. Most results found in the study involve Autonomous Underwater Vehicles, which generally require the most complex array of sensors. The results also provide insight into future research such as methods involving swarm intelligence, which has seen an increase in use in recent years. This synthesis of current and future research will be helpful to research teams working to create an autonomous vehicle with intentions to track, navigate or survey.

AB - This paper provides a systematic state of the art review on tracking the fine scale movements of fish with the use of autonomous maritime robotics. Knowledge of migration patterns and the localization of specific species of fish at a given time is vital to many aspects of conservation. This paper reviews these technologies and provides insight into what systems are being used and why. The review results show that a larger amount of complex systems that use a deep learning techniques are used over more simplistic approaches to the design. Most results found in the study involve Autonomous Underwater Vehicles, which generally require the most complex array of sensors. The results also provide insight into future research such as methods involving swarm intelligence, which has seen an increase in use in recent years. This synthesis of current and future research will be helpful to research teams working to create an autonomous vehicle with intentions to track, navigate or survey.

KW - ASV

KW - AUV

KW - Acoustic telemetry

KW - Fish tracking

KW - Maritime robotics

KW - Underwater robotics

U2 - 10.1016/j.oceaneng.2021.108650

DO - 10.1016/j.oceaneng.2021.108650

M3 - Article

VL - 229

JO - Ocean Engineering

JF - Ocean Engineering

SN - 0029-8018

M1 - 108650

ER -