A Multi-AUV System for Cooperative Tracking and Following of Leopard Sharks

被引:0
作者
Shinzaki, Dylan [1 ]
Gage, Chris [2 ]
Tang, Sarah [3 ]
Moline, Mark [4 ]
Wolfe, Barrett [5 ]
Lowe, Christopher G. [5 ]
Clark, Christopher [6 ]
机构
[1] Stanford Univ, Dept Mech Engn, Stanford, CA 94305 USA
[2] Harvey Mudd Coll, Dept Phys, Claremont, CA 91711 USA
[3] Princeton Univ, Dept Mech & Aeronaut Engn, Princeton, NJ 08540 USA
[4] Univ Delaware, Newark, DE 19716 USA
[5] Calif State Univ Long Beach, Dept Biol Sci, Long Beach, CA 90840 USA
[6] Harvey Mudd Coll, Dept Engn, Claremont, CA 91711 USA
来源
2013 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA) | 2013年
基金
美国国家科学基金会;
关键词
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper presents a system of multiple coordinating autonomous underwater vehicles (AUV) that can localize and track a shark tagged with an acoustic transmitter. Each AUV is equipped with a stereo-hydrophone system that provides measurements of the relative bearing to the transmitter, as well as an acoustic modem that allows for inter-AUV communication and hence cooperative shark state estimation and decentralized tracking control. Online state estimation of the shark's state is performed using a Particle Filter in which measurements are shared between AUVs. The decentralized control system enables the AUVs to circumnavigate a dynamic target, (i.e. the estimated shark location). Each AUV circles the target by tracking circles of different radii and at different phase angles with respect to the target so as to obtain simultaneous sensor vantage points and minimize chance of AUV collision. A series of experiments using two AUVs were conducted in Big Fisherman's Cove in Santa Catalina Island, CA and demonstrated the ability to track a tagged leopard shark (Triakis semifasciata). The performance of the tracking was compared to standard manual tracking performed using an directional hydrophone operated by a researcher in a boat. In an additional experiment, the AUVs tracked an acoustic tag attached to the tracking boat to quantify the error of the state estimation of the system.
引用
收藏
页码:4153 / 4158
页数:6
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