Towards AGV safety and navigation advancement obstacle detection using a TOF range camera

R. Bostelman, T. Hong, R. Madhavan
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引用次数: 31

Abstract

The performance evaluation of an obstacle detection and segmentation algorithm for automated guided vehicle (AGV) navigation using a 3D real-time range camera is the subject of this paper. Our approach has teen tested successfully on British safety standard recommended object sizes and materials placed on the vehicle path. The segmented (mapped) obstacles are then verified using absolute measurements obtained using a relatively accurate 2D scanning laser rangefinder. Sensor mounting and sensor modulation issues are also described through representative data sets
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基于TOF测距相机的AGV安全与导航推进障碍检测
本文研究了一种基于三维实时距离摄像机的AGV导航障碍物检测与分割算法的性能评价。我们的方法已经成功地通过了英国安全标准推荐的物体尺寸和放置在车辆路径上的材料的测试。然后使用相对精确的二维扫描激光测距仪获得的绝对测量值来验证分割(映射)的障碍物。传感器安装和传感器调制问题也通过代表性数据集进行了描述
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