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Fast Measurement and Reconstruction of Large Workpieces with Freeform Surfaces by Combining Local Scanning and Global Position Data

机译：通过结合局部扫描和全球位置数据快速测量和重建具有自由曲面的大型工件

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摘要

In this paper, we propose a new approach for the measurement and reconstruction of large workpieces with freeform surfaces. The system consists of a handheld laser scanning sensor and a position sensor. The laser scanning sensor is used to acquire the surface and geometry information, and the position sensor is utilized to unify the scanning sensors into a global coordinate system. The measurement process includes data collection, multi-sensor data fusion and surface reconstruction. With the multi-sensor data fusion, errors accumulated during the image alignment and registration process are minimized, and the measuring precision is significantly improved. After the dense accurate acquisition of the three-dimensional (3-D) coordinates, the surface is reconstructed using a commercial software piece, based on the Non-Uniform Rational B-Splines (NURBS) surface. The system has been evaluated, both qualitatively and quantitatively, using reference measurements provided by a commercial laser scanning sensor. The method has been applied for the reconstruction of a large gear rim and the accuracy is up to 0.0963 mm. The results prove that this new combined method is promising for measuring and reconstructing the large-scale objects with complex surface geometry. Compared with reported methods of large-scale shape measurement, it owns high freedom in motion, high precision and high measurement speed in a wide measurement range.
机译：在本文中，我们提出了一种用于测量和重构具有自由曲面的大型工件的新方法。该系统由一个手持式激光扫描传感器和一个位置传感器组成。激光扫描传感器用于获取表面和几何信息，位置传感器用于将扫描传感器统一为一个全局坐标系。测量过程包括数据收集，多传感器数据融合和表面重建。通过多传感器数据融合，可以将图像对齐和配准过程中累积的误差最小化，并显着提高测量精度。在密集准确地获取了三维（3-D）坐标后，使用商业软件基于非均匀有理B样条曲线（NURBS）曲面重建了曲面。使用商用激光扫描传感器提供的参考测量，对该系统进行了定性和定量评估。该方法已用于大齿轮轮辋的重建，精度高达0.0963 mm。结果证明，这种新的组合方法有望用于测量和重建具有复杂表面几何形状的大型物体。与报道的大规模形状测量方法相比，它在较大的测量范围内具有较高的运动自由度，高精度和较高的测量速度。

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