首页> 外文会议>IEEE Conference on Technologies for Practical Robot Applications >An algorithm to identify docking locations for autonomous surface vessels from 3-D LiDAR scans
【24h】

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

机译:一种识别三维LIDAR扫描的自主表面容器对接位置的算法

获取原文

摘要

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,我们提出了一种新颖的算法来识别来自光检测和测距(LIDAR)扫描的码头(或墩)。该算法利用码头的预期几何特征,并且不需要以任何方式修改码头。我们的方法包括用于点云和图像处理的开源工具的新组合和应用。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码头的可用部分,只有一个误报(海堤)。目标应用是小无人面血管(USV)的自动对接(A.K.A.恢复)。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号