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
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