Robust Terrain-Aided Navigation through Sensor Fusion

被引:0
|
作者
Lager, Marten [1 ,2 ]
Topp, Elin A. [1 ]
Malec, Jacek [1 ]
机构
[1] Lund Univ, Dept Comp Sci, Lund, Sweden
[2] Saab Kockums AB, Malmo, Sweden
关键词
Localization; Unmanned Surface Vessel; Autonomous System; Particle Filter; Terrain Navigation; LOCALIZATION; SURFACE; ERROR;
D O I
10.23919/fusion45008.2020.9190578
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
To make autonomous, affordable ships feasible in the real world, they must be capable of safely navigating without fully relying on GPS, high-resolution 3D maps, or high-performance navigation sensors. We suggest a method for estimating the position using affordable navigation sensors (compass and speed log or inertial navigation sensor), sensors used for perception of the environment (cameras, echo sounder, magnetometer), and publicly available maps (sea charts and magnetic intensity anomalies maps). A real-world field trial has shown that the proposed fusion mechanism provides accurate and robust navigation, applicable for affordable autonomous ships.
引用
收藏
页码:543 / 550
页数:8
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