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Tree trunk detection system using LiDAR for a semi-autonomous tree felling robot

机译:使用LiDAR的半自动砍伐机器人的树干检测系统

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To successfully fell a tree, semi-autonomous robotic devices must be capable of identifying the position, size and orientation of trees in the environment of a plantation forest. An approach is proposed to identify the aforementioned tree properties using data gathered from a Light Detection And Ranging (LiDAR) scanner. Trees are detected from the gathered point cloud by searching for horizontally directed normal vectors, then formed into clusters on which cylinder fitting is performed. This approach was verified using three different forest scenes to test its effectiveness.
机译:为了成功倒下树木,半自动机器人设备必须能够识别人工林环境中树木的位置,大小和方向。提出了一种使用从光检测和测距(LiDAR)扫描仪收集的数据来识别上述树木特性的方法。通过搜索水平方向的法向矢量,从聚集的点云中检测出树木,然后将其形成簇,在这些簇上执行圆柱拟合。使用三种不同的森林场景对该方法进行了验证,以测试其有效性。

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