Area-only method for underwater object tracking using autonomous vehicles

被引:0
作者
Masmitja, Ivan [1 ]
Gomariz, Spartacus [1 ]
Del-Rio, Joaquin [1 ]
Kieft, Brian [2 ]
O'Reilly, Tom [2 ]
Aguzzi, Jacopo [3 ]
Bouvet, Pierre-Jean [4 ]
Fannjiang, Clara [5 ]
Katija, Kakani [2 ]
机构
[1] Univ Politecn Cataluna, Elect Dept, SARTI Res Grp, Barcelona, Spain
[2] Monterey Bay Aquarium Res Inst, Moss Landing, CA USA
[3] CSIC, Marine Sci Inst, Barcelona, Spain
[4] ISEN Brest Yncrea Ouest, SEANERGY Lab, L Bisen, Brest, France
[5] Univ Calif Berkeley, Dept Elect Engn & Comp Sci, Berkeley, CA USA
来源
OCEANS 2019 - MARSEILLE | 2019年
关键词
underwater target localization; autonomous vehicles; wave glider; area-only; biologging; tracking; tag; LOCALIZATION; SHARK;
D O I
10.1109/oceanse.2019.8867277
中图分类号
U6 [水路运输]; P75 [海洋工程];
学科分类号
0814 ; 081505 ; 0824 ; 082401 ;
摘要
The use of autonomous underwater vehicles for ocean research has increased as they have a better cost-to-performance ratio than crewed oceanographic vessels. For example, autonomous surface vehicles (e.g. a Wave Glider) can be used to localise and track targets even in the deep-sea. While other researchers have focused on target tracking using acoustic modems, none explored up to date the area-only target tracking methodology. Here we present such a novel method with commercially available acoustic tags, thereby reducing the costs and complexity over other tracking systems. Moreover, this method can be used to track small targets (e.g., jellyfish) due to the tag's small size. The methodology behind the area-only technique is shown, and results from field tests conducted in Monterey Bay are also presented.
引用
收藏
页数:10
相关论文
共 20 条
[1]  
Alcocer A., 2009, THESIS
[2]   Multiple autonomous surface vehicle motion planning for cooperative range-based underwater target localization [J].
Crasta, N. ;
Moreno-Salinas, D. ;
Pascoal, A. M. ;
Aranda, J. .
ANNUAL REVIEWS IN CONTROL, 2018, 46 :326-342
[3]  
Forney C, 2012, IEEE INT CONF ROBOT, P5315, DOI 10.1109/ICRA.2012.6224991
[4]   Maximum a Posteriori Estimation for Multivariate Gaussian Mixture Observations of Markov Chains [J].
Gauvain, Jean-Luc ;
Lee, Chin-Hui .
IEEE TRANSACTIONS ON SPEECH AND AUDIO PROCESSING, 1994, 2 (02) :291-298
[5]  
Ha B., 2018, MBARI INT REPORT
[6]   Habitat selection of a coastal shark species estimated from an autonomous underwater vehicle [J].
Haulsee, D. E. ;
Breece, M. W. ;
Miller, D. C. ;
Wetherbee, B. M. ;
Fox, D. A. ;
Oliver, M. J. .
MARINE ECOLOGY PROGRESS SERIES, 2015, 528 :277-288
[7]  
Jones BD, 2018, 2018 IEEE/OES AUTONOMOUS UNDERWATER VEHICLE WORKSHOP (AUV)
[8]   The European Project MORPH: Distributed UUV Systems for Multimodal, 3D Underwater Surveys [J].
Kalwa, Joerg ;
Tietjen, Daniel ;
Carreiro-Silva, Marina ;
Fontes, Jorge ;
Brignone, Lorenzo ;
Gracias, Nuno ;
Ridao, Pere ;
Pfingsthorn, Max ;
Birk, Andreas ;
Glotzbach, Thomas ;
Eckstein, Sebastian ;
Caccia, Massimo ;
Alves, Joao ;
Furfaro, Thomas ;
Ribeiro, Jorge ;
Pascoal, Antonio .
MARINE TECHNOLOGY SOCIETY JOURNAL, 2016, 50 (04) :26-41
[9]   An improved approximation for the Gaussian Q-function [J].
Karagiannidis, George K. ;
Lioumpas, Athanasios S. .
IEEE COMMUNICATIONS LETTERS, 2007, 11 (08) :644-646
[10]   Resampling Methods for Particle Filtering [J].
Li, Tiancheng ;
Bolic, Miodrag ;
Djuric, Petar M. .
IEEE SIGNAL PROCESSING MAGAZINE, 2015, 32 (03) :70-86