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An algorithm to identify docking locations for autonomous surface vessels from 3-D LiDAR scans

机译:一种从3-D LiDAR扫描中识别自主水面舰船对接位置的算法

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In this paper we present a novel algorithm to identify docks (or piers) from Light Detection and Ranging (LiDAR) scans. The algorithm exploits the expected geometric features of the dock and does not require modifying the dock in any way. Our approach consists of a novel combination and application of open source tools for point cloud and image processing. In our limited testing on 8 fused data sets, the algorithm successfully identified a usable portion of all the docks with only one false positive (a seawall). The target application is automated docking (a.k.a. recovery) for small Unmanned Surface Vessels (USVs).
机译:在本文中,我们提出了一种从光检测和测距(LiDAR)扫描中识别码头(或码头)的新颖算法。该算法利用了船坞的预期几何特征,不需要以任何方式修改船坞。我们的方法包括对点云和图像处理的开源工具的新颖组合和应用。在我们对8个融合数据集的有限测试中,该算法成功地识别了所有船坞中只有一个假阳性(防波堤)的可用部分。目标应用是小型无人水面船只(USV)的自动对接(也称为恢复)。

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