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ROBOTIC SHOTCRETE THICKNESS ESTIMATION USING FIDUCIAL REGISTRATION

机译:用方向估计估计机器人的厚度

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摘要

This paper presents the results of shotcrete thickness estimation for mining applications using a mobile robot. The method uses a fiducial marker based registration method to align initial and posterior LIDAR scans. The shotcrete thickness was calculated using point to point estimation. The registration and thickness estimation were tested in a mock mine using a LIDAR scanner on a mobile robot. It was found that the registration based thickness estimates had repeatability within a millimeter when compared to thickness estimates generated without the need for registration.
机译:本文介绍了使用移动机器人在采矿应用中喷射混凝土厚度估算的结果。该方法使用基于基准标记的配准方法来对齐初始和后继LIDAR扫描。使用点对点估计来计算喷射混凝土的厚度。使用移动机器人上的LIDAR扫描仪在模拟矿井中测试套准和厚度估算。已经发现,与无需注册而生成的厚度估计相比,基于注册的厚度估计具有1毫米内的可重复性。

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