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Obstacle detection using a Time-of-Flight range camera for Automated Guided Vehicle safety and navigation

机译:使用飞行时间范围摄像头进行障碍物检测,以实现自动制导车辆的安全和导航

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摘要

The performance evaluation of an obstacle detection and segmentation algorithm for Automated Guided Vehicle (AGV) navigation in factory-like environments using a 3D real-time range camera is the subject of this paper. Our approach has been 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 will also be described through representative data sets.
机译:本文的主题是在类似工厂的环境中使用自动3D实时范围摄像头对自动导引车(AGV)导航进行障碍检测和分割算法的性能评估。我们的方法已通过英国安全标准推荐的物体尺寸和放置在车道上的材料的测试成功。然后,使用相对准确的2D扫描激光测距仪获得的绝对测量结果来验证分段(映射)的障碍物。传感器安装和传感器调制问题还将通过代表性数据集进行描述。

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