5.3 Automated Registration of Large Assemblies with Robot Guided 3D Sensors and CAD-based Planning

S. Sauer, D. Sopauschke, T. Dunker, D. Berndt, M. Heizmann
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Abstract

: We address the problem of automated inspection of rivets and brackets in aircraft fuselage shells with a robot guided 3D-sensor. High variety of such assemblies requires that an inspection automatically compares acquired 3D data to the CAD model representing the assembly. For this purpose, a precise sensor pose with respect to the fuselage shell coordinate system is needed. In this industrial context, the current set-up can deviate from the model by few centimeters which is too much for inspection. We present an automated registration method, which does not need further sensors for tracking. This method reduces the deviation between measured points and the CAD model to few tenth of a millimeter in regions with no assembly defect. Therefore, we find automatically measurement positions for registration which cover all degrees of freedom. The algorithm for registering the 3D points to the CAD model avoids the assignment of points to faces which cannot be reached by the sensor, and parts to be inspected. In addition, local registration can deal with slight deformation of the fuselage shell.
5.3使用机器人引导的3D传感器和基于cad的规划进行大型装配的自动配准
我们用机器人引导的3d传感器解决了飞机机身外壳铆钉和支架的自动检测问题。这种装配的多样性要求检查自动将获得的3D数据与代表装配的CAD模型进行比较。为此,需要一个相对于机身壳体坐标系的精确传感器位姿。在这种工业背景下,当前的设置可能会偏离模型几厘米,这对于检查来说太大了。我们提出了一种不需要传感器跟踪的自动配准方法。该方法将测量点与CAD模型之间的偏差减少到没有装配缺陷的区域的十分之一毫米。因此,我们自动找到涵盖所有自由度的测量位置进行配准。将三维点配准到CAD模型的算法避免了将点分配到传感器无法到达的面和待检测部件上。此外,局部配准可以处理机身外壳的轻微变形。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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