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RESEARCH ON THE METHOD OF STEP FEATURE EXTRACTION FOR EOD ROBOT BASED ON 2D LASER RADAR

机译:基于二维激光雷达的排爆机器人阶梯特征提取方法研究

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摘要

Considering the requirements of climbing obstacle and stairs for Explosive Ordnance Disposal (EOD) robot, a method about step feature extraction based on two-dimensional (2D) laser radar is in great demand. In this paper, we research the three-dimensional (3D) environment feature extraction (EFE) method including the 3D point clouds map construction, the line feature extraction and the plane feature extraction. The EFE method can be applied to feature extraction of the step vertical plane. Based on the method, we construct a 3D feature recognition system (FRS) using 2D laser radar. FRS can help us extract quickly the step vertical planes from 3D laser radar line map, thus can provide necessary environment information for the decision and action of EOD robot. We demonstrate the ability of FRS by applying it to some typical step environment.
机译:考虑到爆炸物处理(EOD)机器人对攀登障碍物和楼梯的要求,迫切需要一种基于二维(2D)激光雷达的步特征提取方法。在本文中,我们研究了三维(3D)环境特征提取(EFE)方法,包括3D点云图构建,线特征提取和平面特征提取。 EFE方法可以应用于阶梯垂直平面的特征提取。基于该方法,我们使用2D激光雷达构建了3D特征识别系统(FRS)。 FRS可以帮助我们从3D激光雷达线图中快速提取阶梯垂直平面,从而可以为EOD机器人的决策和行动提供必要的环境信息。我们通过将FRS应用到一些典型的步进环境中来演示其功能。

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