A novel ocean bathymetry technology based on an unmanned surface vehicle

被引:27
|
作者
Jin Jiucai [1 ]
Zhang Jie [1 ]
Shao Feng [1 ,2 ]
Lyu Zhichao [1 ,3 ]
Wang Dong [1 ,4 ]
机构
[1] State Ocean Adm, Inst Oceanog 1, Qingdao 266061, Peoples R China
[2] China Univ Petr, Coll Informat & Control Engn, Qingdao 266580, Peoples R China
[3] Harbin Engn Univ, Coll Underwater Acoust Engn, Harbin 150001, Heilongjiang, Peoples R China
[4] Harbin Inst Technol, Coll Elect & Informat Engn, Harbin 150006, Peoples R China
基金
中国国家自然科学基金;
关键词
unmanned surface vehicle; bathymetry; attitude correction; tidal observation;
D O I
10.1007/s13131-018-1269-2
中图分类号
P7 [海洋学];
学科分类号
0707 ;
摘要
In ocean bathymetry, the instantaneous depth measured by survey ships or by unmanned surface vehicles (USVs) cannot be directly taken as the chart depth because of the effect of waves and the tide. A novel ocean bathymetry technology is proposed based on the USV, the aim is to evaluate the potential of the USV using a real-time kinematic (RTK) and a single beam echo sounder for ocean bathymetry. First, using the RTK height of the USV with centimeter-level precision, the height of the sea level is obtained by excluding wave information using a low pass filter. Second, the datum distance between the reference ellipsoid and the chart depth is obtained by a novel method using tide tables and the height of the sea level from the USV. Previous work has usually achieved this using long-term tidal observation from traditional investigations. Finally, the chart depth is calculated using the transformation between the instantaneous depth of the USV measurement and the datum of the chart depth. Experiments were performed around the Wuzhizhou Island in Hainan Province using the unmanned surface bathymetry vehicle to validate the proposed technology. The successful results indicate the potential of the bathymetry technology based on the USV.
引用
收藏
页码:99 / 106
页数:8
相关论文
共 50 条
  • [31] DEEP OCEAN VEHICLE TECHNOLOGY
    HARTER, JRR
    TRANSACTIONS OF THE AMERICAN NUCLEAR SOCIETY, 1964, 7 (02): : 481 - &
  • [32] An autonomous dynamic collision avoidance control method for unmanned surface vehicle in unknown ocean environment
    Fan, Yunsheng
    Sun, Xiaojie
    Wang, Guofeng
    INTERNATIONAL JOURNAL OF ADVANCED ROBOTIC SYSTEMS, 2019, 16 (02):
  • [33] Vision-based Autonomous Landing of Unmanned Aerial Vehicle on a Motional Unmanned Surface Vessel
    Xu, Zhe-Chong
    Hu, Bin-Bin
    Liu, Bin
    Wang, X. D.
    Zhang, Hai-Tao
    PROCEEDINGS OF THE 39TH CHINESE CONTROL CONFERENCE, 2020, : 6845 - 6850
  • [34] Identification of an Underactuated Unmanned Surface Vehicle
    Zhao JiangYan WeishengJin XuelianGao Jian College of Marine EngineeringNorthwestern Polytechnical UniversityXian China
    西北工业大学学报, 2012, 30 (05) : 699 - 705
  • [35] Optimized Design of an Unmanned Surface Vehicle
    Kanakakis, V.
    Spanoudakis, P.
    Tsourveloudis, N.
    PROCEEDINGS ELMAR-2009, 2009, : 181 - 184
  • [36] Simulation and Control of an Unmanned Surface Vehicle
    McLauchlan, Lifford
    2014 ASEE ANNUAL CONFERENCE, 2014,
  • [37] Obstacle detection for Unmanned Surface Vehicle
    Azzabi, Tarek
    Amor, Samir Belhaj
    Nejim, Samir
    2014 INTERNATIONAL CONFERENCE ON ELECTRICAL SCIENCES AND TECHNOLOGIES IN MAGHREB (CISTEM), 2014,
  • [38] Course Control of Unmanned Surface Vehicle
    Szymak, Piotr
    ADVANCES IN MECHATRONIC SYSTEMS, MECHANICS AND MATERIALS, 2013, 196 : 117 - 123
  • [39] Development and Missions of Unmanned Surface Vehicle
    Yan, Ru-jian
    Pang, Shuo
    Sun, Han-bing
    Pang, Yong-jie
    JOURNAL OF MARINE SCIENCE AND APPLICATION, 2010, 9 (04) : 451 - 457
  • [40] Trajectory tracking control of unmanned surface vehicle based on optimized barrier Lyapunov function under real ocean wave modeling
    Mu, Dongdong
    Lang, Zhongqi
    Fan, Yunsheng
    Zhao, Yongsheng
    Zhu, Guibing
    Gao, Yuxing
    JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS, 2024, 361 (16):