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Volumetric Error Compensation for the MScMS-II

机译:MScMS-II的体积误差补偿

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Large scale measuring systems, i.e. measuring systems characterized by a measurement volume from some meters up to some hundreds of meters, are gaining importance in industry to check large parts or track the position of automated vehicles. In contrast with classical monolithic measuring systems, modern large scale measuring systems are constituted by constellations of sensors able to track the position of objects by triangulation or trilateration. This new design allows a greater system flexibility, scalability, and portability, together with a general reduction of costs. The MScMS-II is a large scale measuring system based on infrared triangulation. It has been designed to guarantee the maximum flexibility and reconfigurability, so every set-up procedure has been reduced as much as possible, so that its deployment and calibration requires a short time. However, its accuracy could benefit of a more complete volumetric calibration through the definition of a model of the volumetric error to be compensated. In this paper a self-calibration procedure based on a simple one-dimensional uncalibrated artifact is proposed to define a volumetric error model of the MScMS-II. Self-calibration can be performed in short time and can improve system performance by reducing systematic errors. Experimental results complete the work.
机译:大型测量系统,即具有从几米到几百米的测量体积的特征的测量系统,在工业中越来越重要地用于检查大型零件或跟踪自动车辆的位置。与经典的单片测量系统相反,现代的大规模测量系统由能够通过三角测量或三边测量跟踪对象位置的传感器组成。这种新设计可提供更大的系统灵活性,可扩展性和可移植性,并总体上降低了成本。 MScMS-II是基于红外三角测量的大型测量系统。其设计旨在确保最大的灵活性和可重新配置性,因此已尽可能减少了每个设置过程,因此其部署和校准需要很短的时间。但是,通过定义要补偿的体积误差模型,其精度可能会受益于更完整的体积校准。本文提出了一种基于简单一维未校准伪像的自校准程序,以定义MScMS-II的体积误差模型。自校准可以在短时间内执行,并且可以通过减少系统错误来提高系统性能。实验结果完成了工作。

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