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Measuring Human-made Corner Structures with a Robotic Total Station using Support Points, Lines and Planes

机译:使用支撑点,线条和平面测量用机器人全站仪测量人造的角落结构

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Measuring non-planar targets with a total station in reflectorless mode is a challenging and error-prone task. Any accurate 3D point measurement requires a fully reflected laser beam of the electronic distance meter and proper orientation of the pan-tilt unit. Prominent structures like corners and edges often cannot fulfill these requirements and cannot be measured reliably. We present three algorithms and user interfaces for simple and efficient construction-side measurement corrections of the systematic error, using additional measurements close to the non-measurable target. Post-processing of single-point measurements is not required with our methods, and our experiments prove that using a 3D point, a 3D line or a 3D plane support can lower the systematic error by almost a order of magnitude.
机译:用反射器模式的全站仪测量非平面目标是一个具有挑战性和易于易于的任务。 任何精确的3D点测量都需要一个完全反射的电子距离计的激光束和平移单元的正确取向。 像角落和边缘这样的突出结构通常不能满足这些要求,不能可靠地测量。 我们为系统误差的简单高效建筑侧测量校正提供了三种算法和用户界面,使用靠近不可衡量目标的额外测量值。 使用我们的方法不需要单点测量的后处理,我们的实验证明使用3D点,3D线或3D平面支持几乎可以通过几乎逐级缩小系统误差。

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