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View-based method for relative orientation in a pipe

机译:基于视图的管道相对定向方法

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Abstract: This paper addresses the navigation problem for an autonomous robot designed to inspect sewerage. The robot, which is about half size of the sewer diameter, must keep its orientation in the entirely dark sewerage. The only a priory information known is the geometrical shape of the sewer. This implies a strong geometrical constraint on the environment the robot can expect. In the paper we worked out an active vision system to be used on-board of the sewer robot. The system has two components: (a) an optical camera and (b) a laser cross hair projector generating an ideal cross. The print left by the laser cross hair projector on the pipe surface is snapped with the camera. The image of the 'cross trace' on the camera plane is two intersecting quadratic curves. The shape of the curves gives a clue about a direction the robot looks. In this paper ewe investigate the curves that are the images of the laser 'cross traces' as they are seen on the camera plane for a simulated environmental model. We show how the shape of the curves viewed by the camera depends upon particular camera/laser relative position and orientation, assuming a cylindrical sewer pipe. We give a strategy how to align the robot with the sewer axis on the basis of curve images. !4
机译:摘要:本文解决了用于检查污水的无人驾驶机器人的导航问题。机器人大约是下水道直径的一半,必须在完全黑暗的下水道中保持其方向。唯一已知的先验信息是下水道的几何形状。这意味着对机器人可以预期的环境有很强的几何约束。在本文中,我们设计了一种主动视觉系统,可用于下水道机器人的车载系统。该系统具有两个组件:(a)光学相机和(b)产生理想十字的激光十字准线投影仪。激光十字准线投影仪在管道表面上留下的打印图像被相机捕获。相机平面上的“交叉轨迹”图像是两条相交的二次曲线。曲线的形状提供了有关机器人外观方向的线索。在本文中,我们研究了曲线,这些曲线是模拟环境模型在相机平面上看到的激光“交叉迹线”的图像。我们展示了假定圆柱形的下水道,摄像机所观察到的曲线的形状如何取决于特定的摄像机/激光相对位置和方向。我们给出了一种基于曲线图像如何使机器人与下水道轴线对齐的策略。 !4

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