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首页> 外文期刊>IEEE Journal of Oceanic Engineering >Coastal SLAM With Marine Radar for USV Operation in GPS-Restricted Situations
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Coastal SLAM With Marine Radar for USV Operation in GPS-Restricted Situations

机译:在GPS受限的情况下,带海军雷达的沿海SLAM用于USV操作

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摘要

The global positioning system (GPS) has become an indispensable navigation sensor for field operations with unmanned surface vehicles (USVs) in marine environments. However, GPS may not always be available, even in open outdoor areas, because it is vulnerable to natural interference and malicious jamming attacks. Thus, an alternative navigation system is required when the use of GPS is restricted or prohibited. In such circumstances, a marine radar, which is a standard sensor in amarine vehicle including USV, can be used for localization in coastal areas. The marine radar can extract landmark features of the surrounding coastlines. These features can be utilized for relative navigation with respect to the detected coastlines. However, coastline maps based on radar signatures may be unavailable in unexplored areas, and they may be unreliable in coastal areas with high tidal elevations. In this study, the relative navigation with respect to the surrounding coastlines is performed in the framework of simultaneous localization and mapping (SLAM) for a USV operation in coastal waters. In particular, coastline features are parameterized by using B-splines for efficient map management, instead of the conventional point cloud representation. To verify and demonstrate the performance of the proposed coastal SLAM algorithm, field experiments were conducted in actual coastal environments. The results are presented and discussed in this paper.
机译:对于海上环境中的无人水面车辆(USV)的野外作业而言,全球定位系统(GPS)已成为必不可少的导航传感器。但是,即使在空旷的户外区域,GPS也不总是可用,因为它容易受到自然干扰和恶意干扰。因此,当限制或禁止使用GPS时,需要使用其他导航系统。在这种情况下,可以将海上雷达(包括USV的海上航行器中的标准传感器)用于沿海地区的定位。海洋雷达可以提取周围海岸线的地标性特征。这些特征可以用于相对于检测到的海岸线的相对导航。但是,基于雷达信号的海岸线地图可能在未勘探区域中不可用,并且在潮汐高度高的沿海地区可能不可靠。在这项研究中,在沿海水域的USV作业同时定位和制图(SLAM)的框架中执行了相对于周围海岸线的相对导航。特别是,海岸线特征通过使用B样条进行参数化,以进行有效的地图管理,而不是常规的点云表示。为了验证和证明所提出的沿海SLAM算法的性能,在实际的沿海环境中进行了现场实验。本文介绍并讨论了结果。

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