A Multi-Autonomous Underwater Vehicle System for Autonomous Tracking of Marine Life

被引:43
|
作者
Lin, Yukun [1 ]
Hsiung, Jerry [2 ]
Piersall, Richard [3 ]
White, Connor [4 ]
Lowe, Christopher G. [4 ]
Clark, Christopher M. [3 ]
机构
[1] Harvey Mudd Coll, Dept Comp Sci & Math, Claremont, CA 91711 USA
[2] Harvey Mudd Coll, Dept Comp Sci, Claremont, CA 91711 USA
[3] Harvey Mudd Coll, Dept Engn, Claremont, CA 91711 USA
[4] CSU Long Beach, Dept Biol Sci, Long Beach, CA 90840 USA
基金
美国国家科学基金会;
关键词
LEOPARD SHARK; OCEAN; AUV;
D O I
10.1002/rob.21668
中图分类号
TP24 [机器人技术];
学科分类号
080202 ; 1405 ;
摘要
This paper presents a multi-autonomous underwater vehicle system capable of cooperatively and autonomously tracking and following marine targets (i.e., fish) tagged with an acoustic transmitter. The AUVs have been equipped with stereo-hydrophones that receive signals broadcasted by the acoustic transmitter tags to enable real-time calculation of bearing-to-tag and distance-to-tag measurements. These measurements are shared between AUVs via acoustic modem and fused within each AUV's particle filter for estimating the target's position. The AUVs use a leader/follower multi-AUV control system to enable the AUVs to drive toward the estimated target state by following collision-free paths. Once within the local area of the target, the AUVs circumnavigate the target state until it moves to another area. The system builds on previous work by incorporating a new SmartTag package that can be attached to an individual's dorsal fin. The SmartTag houses a full inertial measurement unit (INU), video logger, acoustic transmitter, and timed release mechanism. After real-time AUV tracking experiments, the SmartTag is recovered. Logged IMU data are fused with logged AUV-obtained acoustic tag measurements within a particle filter to improve state estimation accuracy. This improvement is validated through a series of multi-AUV shark and boat tracking experiments conducted at Santa Catalina Island, California. When compared with previous work that did not use the SmartTag package, results demonstrated a decrease in mean position estimation error of 25-75%, tag orientation estimation errors dropped from 80 degrees to 30 degrees, the sensitivity of mean position error with respect to distance to the tag was less by a factor of 50, and the sensitivity of mean position error with respect to acoustic signal reception frequency to the tag was 25 times less. These statistics demonstrate a large improvement in the system's robustness when the SmartTag package is used. (C) 2016 Wiley Periodicals, Inc.
引用
收藏
页码:757 / 774
页数:18
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