One method for deep sea detailed survey with an autonomous underwater vehicle

被引:0
|
作者
Tsukioka, Satoshi [1 ]
Hyakudome, Tadahiro [1 ]
Sawa, Takao [1 ]
Yoshida, Hiroshi [1 ]
Yano, Yusuke [1 ]
Tahara, Jyunichiro [1 ]
Ashi, Jyuichiro [2 ]
Yamamoto, Fujio [2 ]
Morita, Sumito [3 ]
Kinoshita, Masataka [4 ]
Kasaye, Takafumi [4 ]
Ishikawa, Akihisa [5 ]
机构
[1] Japan Agcy Marine Earth Sci & Technol, Marine Technol Dept, Yokosuka, Kanagawa, Japan
[2] Univ Tokyo, Ocean Res Inst, Nakano Ku, Tokyo, Japan
[3] Japan Agcy Marine Earth Sci & Technol, Ctr Deep Earth Explorat, Yokosuka, Kanagawa, Japan
[4] Japan Agcy Marine Earth Sci & Technol, Inst Res Earth Evolut, Yokosuka, Kanagawa, Japan
[5] Natl Inst Adv Ind Sci & Technol, Tsukuba, Ibaragi, Japan
关键词
autonomous underwater vehicle; scafloor mapping; mud volcano; Kumano Basin;
D O I
暂无
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
This paper introduces one method to obtain super detailed sea floor acoustic image with an autonomous underwater vehicle and its result on the 2,000m depth mud volcanoes in Kumano Trough 50km offshore of Japan. Ocean going autonomous underwater vehicle "Urashima" was used as a platform to equip a high frequency side scan sonar system and its latitude, longitude and altitude was programmed and controlled keeping constant to unify the resolution of acoustical image. As the result, the vehicle was controlled successfully, and acoustic image of mud volcanoes was proved that the autonomous underwater vehicle has high capability for detailed deep seafloor scientific survey.
引用
收藏
页码:1110 / +
页数:2
相关论文
共 50 条
  • [21] Underwater pipeline survey with a towed semi-autonomous vehicle
    Caiti, A.
    Casalino, G.
    Raciti, C.
    Turetta, A.
    Viviani, R.
    OCEANS 2007 - EUROPE, VOLS 1-3, 2007, : 281 - +
  • [22] A stereo vision localization method for autonomous recovery of autonomous underwater vehicle
    Xu, Shuo
    Jiang, Yanqing
    Li, Ye
    Liu, Shanchang
    Ding, Shuoshuo
    Ma, Dong
    Qi, Haodong
    Zhang, Wenjun
    Harbin Gongcheng Daxue Xuebao/Journal of Harbin Engineering University, 2022, 43 (08): : 1084 - 1090
  • [23] Research on autonomous control of unmanned underwater vehicle for oceanographic survey
    Yan, Zheping
    Zhao, Yufei
    Chen, Tao
    Harbin Gongcheng Daxue Xuebao/Journal of Harbin Engineering University, 2013, 34 (09): : 1152 - 1158
  • [24] Adaptive Navigation Algorithm with Deep Learning for Autonomous Underwater Vehicle
    Ma, Hui
    Mu, Xiaokai
    He, Bo
    SENSORS, 2021, 21 (19)
  • [25] Hybrid model navigation method for autonomous underwater vehicle
    Zhang, Xin
    He, Bo
    Mu, Pengcheng
    Zhang, Di
    OCEAN ENGINEERING, 2022, 261
  • [26] Method for modeling long distance autonomous underwater vehicle
    Yan, Weisheng
    Xu, Demin
    Li, Jun
    Zhang, Fubin
    Xibei Gongye Daxue Xuebao/Journal of Northwestern Polytechnical University, 2004, 22 (04): : 500 - 504
  • [27] Surface path tracking method of autonomous surface underwater vehicle based on deep reinforcement learning
    Song, Dalei
    Gan, Wenhao
    Yao, Peng
    Zang, Wenchuan
    Qu, Xiuqing
    NEURAL COMPUTING & APPLICATIONS, 2023, 35 (08): : 6225 - 6245
  • [28] Surface path tracking method of autonomous surface underwater vehicle based on deep reinforcement learning
    Dalei Song
    Wenhao Gan
    Peng Yao
    Wenchuan Zang
    Xiuqing Qu
    Neural Computing and Applications, 2023, 35 : 6225 - 6245
  • [29] Prospective deep sea detailed survey with the AUV "Urashima"
    Tsukioka, S
    Aoki, T
    Yamamoto, I
    Yoshida, H
    Hyakudome, T
    Ishibashi, S
    Sawa, T
    Ishikawa, A
    Inada, T
    Hirokawa, K
    PROCEEDINGS OF THE FIFTEENTH (2005) INTERNATIONAL OFFSHORE AND POLAR ENGINEERING CONFERENCE, VOL 2, 2005, : 252 - 258
  • [30] Improvement and sea test of Autonomous Underwater Vehicle "URASHIMA" for practical use
    Ishiwata, Junya
    Tsukioka, Satoshi
    Hyakudome, Tadahiro
    Sawa, Takao
    Nakajo, Hidehiko
    Nanbu, Yoshinobu
    Watanabe, Kojiro
    Ishikawa, Akihisa
    OCEANS 2008, VOLS 1-4, 2008, : 1201 - +