Research Advances and Prospects of Underwater Terrain-Aided Navigation

被引:0
|
作者
Wang, Rupeng [1 ]
Wang, Jiayu [1 ]
Li, Ye [2 ]
Ma, Teng [2 ]
Zhang, Xuan [1 ]
机构
[1] Hohai Univ, Coll Harbor Coastal & Offshore Engn, Nanjing 210024, Peoples R China
[2] Harbin Engn Univ, Natl Key Lab Autonomous Marine Vehicle Technol, Harbin 150001, Peoples R China
基金
中国国家自然科学基金;
关键词
AUV; SLAM; DEM; terrain-aided position; underwater navigation; underwater positioning; BATHYMETRIC SIMULTANEOUS LOCALIZATION; PARTICLE FILTER; STEREO-VISION; DEEP; ALGORITHM; VEHICLE; SLAM; RECONSTRUCTION; PERFORMANCE; SENSOR;
D O I
10.3390/rs16142560
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Underwater terrain-aided navigation (TAN) can obtain high-precision positioning independently and autonomously under the conditions of a communication rejection space, which is an important breakthrough for the autonomous and refined operation of deep-sea autonomous underwater vehicles near the seabed. Although TAN originated in the aviation field, the particularity of the underwater physical environment has led to the formation of a different theoretical and technical system. In this article, the application background, operating principles, and most important technical aspects of underwater TAN are introduced. Then, the relevant algorithms involved in the two main modules (the terrain-aided positioning module and the iterative filtering estimation module) of the underwater TAN are reviewed. Finally, other cutting-edge issues in the field of underwater TAN are summarized. The purpose of this article is to provide researchers with a comprehensive understanding of the current research status and possible future developments in the TAN field.
引用
收藏
页数:33
相关论文
共 50 条
  • [31] Working towards Adaptive Sensing for Terrain-aided Navigation
    Zhou, Mingxi
    Bachmayer, Ralf
    deYoung, Brad
    2019 INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA), 2019, : 3450 - 3456
  • [32] Path Planning of Underwater Terrain-Aided Navigation Based on Improved Artificial Potential Field Method
    Chen, Pengyun
    Shen, Peng
    Zhang, Pengfei
    Li, Ye
    Ma, Teng
    Han, Yujie
    MARINE TECHNOLOGY SOCIETY JOURNAL, 2019, 53 (02) : 65 - 74
  • [33] An outlier-robust Rao-Blackwellized particle filter for underwater terrain-aided navigation
    Zhang, Jiayu
    Zhang, Tao
    Liu, Shede
    OCEAN ENGINEERING, 2023, 288
  • [34] Robust Terrain-Aided Navigation through Sensor Fusion
    Lager, Marten
    Topp, Elin A.
    Malec, Jacek
    PROCEEDINGS OF 2020 23RD INTERNATIONAL CONFERENCE ON INFORMATION FUSION (FUSION 2020), 2020, : 543 - 550
  • [35] An Improved Approach of Terrain-Aided Navigation Based on RBPF
    Gui, Yi
    Cheng, Nong
    INDUSTRIAL INSTRUMENTATION AND CONTROL SYSTEMS II, PTS 1-3, 2013, 336-338 : 336 - 342
  • [36] Terrain-aided navigation for long-endurance and deep-rated autonomous underwater vehicles
    Salavasidis, Georgios
    Munafo, Andrea
    Harris, Catherine A.
    Prampart, Thomas
    Templeton, Robert
    Smart, Micheal
    Roper, Daniel T.
    Pebody, Miles
    McPhail, Stephen D.
    Rogers, Eric
    Phillips, Alexander B.
    JOURNAL OF FIELD ROBOTICS, 2019, 36 (02) : 447 - 474
  • [37] EKF and UKF algorithms and the application to terrain-aided navigation
    Hong, Mei
    Yang, Jing
    Liu, Qin
    Zhao, Shuangshuang
    Yi Qi Yi Biao Xue Bao/Chinese Journal of Scientific Instrument, 2008, 29 (SUPPL. 2): : 562 - 567
  • [38] Marginalized Point Mass Filter with Estimating Tidal Depth Bias for Underwater Terrain-Aided Navigation
    Peng, Dongdong
    Zhou, Tian
    Xu, Chao
    Zhang, Wanyuan
    Shen, Jiajun
    JOURNAL OF SENSORS, 2019, 2019
  • [39] An evaluation of path-planning methods for autonomous underwater vehicle based on terrain-aided navigation
    Cong, Zheng
    Li, Ye
    Jiang, Yanqing
    Ma, Teng
    Gong, Yusen
    Wang, Rupeng
    Wu, Haowei
    INTERNATIONAL JOURNAL OF ADVANCED ROBOTIC SYSTEMS, 2019, 16 (03):
  • [40] Research on a Terrain-Aided Navigation Method Based on a Particle Filter and Its Improved Algorithm
    Zhang, Xue
    Wei, Yanhui
    Lu, Tianhao
    OCEANS 2023 - LIMERICK, 2023,