地形
离群值
计算机科学
水下
障碍物
匹配(统计)
计算机视觉
人工智能
地理
数学
统计
地图学
考古
作者
Kai Zhang,Yong Li,Jianhu Zhao,Chris Rizos
出处
期刊:Journal of Navigation
[Cambridge University Press]
日期:2014-02-13
卷期号:67 (4): 569-578
被引量:23
标识
DOI:10.1017/s0373463314000071
摘要
Outliers in terrain data are an obstacle to achieving accurate and robust solutions of Underwater Terrain Relative Navigation (UTRN). If not handled properly, navigation may be degraded or even divergent. To address the problem, this paper proposes a terrain-matching algorithm based on the robust estimation theory. In contrast to the conventional approach, the proposed algorithm can significantly reduce the interference of the outliers. Experimental results confirm the good performance of the proposed method.
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