Underwater UXO detection using magnetometry on hovering AUVs

被引:8
|
作者
Seidel, Marc [1 ]
Frey, Torsten [1 ]
Greinert, Jens [1 ,2 ]
机构
[1] GEOMAR Helmholtz Ctr Ocean Res Kiel, Wischhofstr 1-3, D-24148 Kiel, Germany
[2] Christian Albrechts Univ Kiel, Inst Geosci, Kiel, Germany
关键词
AUV; exploration; magnetics; marine geophysics; seabed monitoring; UXO;
D O I
10.1002/rob.22159
中图分类号
TP24 [机器人技术];
学科分类号
080202 ; 1405 ;
摘要
The EU-funded project BASTA (Boost Applied munition detection through Smart data inTegration and AI workflows, ) aimed at improving underwater unexploded ordnance (UXO) detection approaches and advancing data acquisition techniques. One aspect of the project was performing autonomous underwater vehicle (AUV)-based magnetic measurements. In this paper, we present the first results of integrating three submersible fluxgate magnetometers to a Girona 500 AUV in the context of underwater UXO detection. The hovering capabilities of these AUVs allow them to maintain a fixed position or to precisely navigate at very low velocities and altitudes. The magnetic sensors are rigidly attached to the nose of the AUV at a lateral distance of 2 m and are arranged in the shape of a vertical triangle, thereby allowing for the calculation of three spatial magnetic gradients. A series of surveys was performed when visiting several munitions dumpsites in the German Baltic Sea. Furthermore, we successfully conducted a test survey with surrogate objects of known magnetic moments in a naval port basin in Kiel, Germany. With a noise floor of approximately 2 nT, the system is capable of reliably detecting munitions similar in size to 81 mm shells from altitudes of 1 m above the seafloor. For ground-truthing purposes and for a concluding confirmation or rejection of a UXO suspicion, the AUV is equipped with a high-resolution camera system. This newly developed system aims at improving the industry standard's technical potentials of autonomously discriminating between hazardous UXO and anthropogenic debris or rocks and therefore reducing the number of target points before underwater UXO clearance campaigns.
引用
收藏
页码:848 / 861
页数:14
相关论文
共 50 条
  • [41] Simulation of Multiple AUVs Underwater Wireless Recharging
    Yu, Le
    Wang, Hongjian
    Li, Cun
    Li, Juan
    Xia, Guoqing
    2013 MTS/IEEE OCEANS - BERGEN, 2013,
  • [42] Underwater image enhancement method using color channel regularization and histogram distribution for underwater vehicles AUVs and ROVs
    Boudhane, Mohcine
    Balcers, Ojars
    International Journal of Circuits, Systems and Signal Processing, 2019, 13 : 570 - 578
  • [43] Docking Method for Hovering-Type AUVs Based on Acoustic and Optical Landmarks
    Maki, Toshihiro
    Sato, Yoshiki
    Matsuda, Takumi
    Masuda, Kotohiro
    Sakamaki, Takashi
    JOURNAL OF ROBOTICS AND MECHATRONICS, 2018, 30 (01) : 55 - 64
  • [44] Dual Sensor Platforms for UXO/Landmine Detection using GPR and EMI
    Marble, Jay
    Hong, Kevin
    DETECTION AND SENSING OF MINES, EXPLOSIVE OBJECTS, AND OBSCURED TARGETS XV, 2010, 7664
  • [45] On the Development of a Digital Twin for Underwater UXO Detection Using Magnetometer-Based Data in Application for the Training Set Generation for Machine Learning Models
    Blachnik, Marcin
    Przylucki, Roman
    Golak, Slawomir
    Sciegienka, Piotr
    Wieczorek, Tadeusz
    SENSORS, 2023, 23 (15)
  • [46] Using physics-based modeler outputs to train probabilistic neural networks for unexploded ordnance (UXO) classification in magnetometry surveys
    Hart, SJ
    Shaffer, RE
    Rose-Pehrsson, SL
    McDonald, JR
    IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2001, 39 (04): : 797 - 804
  • [47] Navigation Approaches for Hovering Autonomous Underwater Vehicles
    Baruch, Alon
    Kamber, Eran
    Arbel, Itay
    Braginsky, Boris
    Guterman, Hugo
    2016 IEEE INTERNATIONAL CONFERENCE ON THE SCIENCE OF ELECTRICAL ENGINEERING (ICSEE), 2016,
  • [48] Broadband acoustic scattering measurements of underwater unexploded ordnance (UXO)
    Bucaro, J. A.
    Houston, B. H.
    Saniga, M.
    Dragonette, L. R.
    Yoder, T.
    Dey, S.
    Kraus, L.
    Carin, L.
    JOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA, 2008, 123 (02): : 738 - 746
  • [49] A SLAM-based Approach for Underwater Mapping using AUVs with Poor Inertial Information
    Hammond, Marcus
    Rock, Stephen M.
    2014 IEEE/OES AUTONOMOUS UNDERWATER VEHICLES (AUV), 2014,
  • [50] Artificial landmark-based underwater localization for AUVs using weighted template matching
    Kim, Donghoon
    Lee, Donghwa
    Myung, Hyun
    Choi, Hyun-Taek
    INTELLIGENT SERVICE ROBOTICS, 2014, 7 (03) : 175 - 184