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Determining Shot Accuracy of a Robotic Pool System

机译:确定机器人泳池系统的射门准确性

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A process is described to determine the shot accuracy of an automatic robotic pool playing system. The system comprises a ceiling-mounted gantry robot, a special purpose cue end-effector, a ceiling-mounted camera, and a standard bar pool table. Two methods are compared for extracting the homography between the camera and the table plane. A challenge was the relatively large area of the table surface, which required a similarly large chessboard pattern to determine the point homography. In contrast, the Dual Conic method required only a set of orthogonal lines as a calibration target, which was more convenient to manipulate, and could be calculated from the integration of multiple images with multiple target locations. The Dual Conic method was shown experimentally to recover the homography with a similar, and sometimes greater accuracy than the Chessboard method. An experimental procedure was devised to measure the accuracy of an automatic shot using a sequence of images acquired from the overhead camera. For a set of 10 shots, the average absolute angular error in placing a shot was determined to be 0.74^0, with a standard deviation of 0.96^0.
机译:描述了一种确定自动机器人台球游戏系统的击球准确性的过程。该系统包括一个安装在天花板上的龙门机器人,一个专用球杆末端执行器,一个安装在天花板上的摄像头以及一个标准的吧台桌。比较了两种方法来提取相机和工作台平面之间的单应性。一个挑战是工作台表面的面积相对较大,这就需要类似的大型棋盘图案来确定点单应性。相比之下,双重圆锥法只需要一组正交线作为校准目标即可,这更易于操作,并且可以通过将多个图像与多个目标位置进行积分来计算。实验表明,双圆锥曲线方法可以以比Chessboard方法相似的,有时甚至更高的精度恢复单应性。设计了一个实验程序,以使用从高架摄像机获取的一系列图像来测量自动拍摄的准确性。对于一组10张照片,放置照片的平均绝对角度误差确定为0.74 ^ 0,标准偏差为0.96 ^ 0。

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