Curve Reconstruction via a Ribbon of Sensors

S. Nathalie, D. Dominique, L. Bernard, B. Luc
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引用次数: 9

Abstract

This paper presents a novel method for reconstructing curves relying on tangential data which are provided by embedded sensors. The reconstruction process is based on the knowledge of the distribution of the sensors along the curve, represented by a ribbon, and on the associated tangential orientation measurements without any information about their positioning in space, so that this problem is not an envelope problem. We first show how we can obtain these data from sensors and the prototypes we have created. Then we provide methods for planar curves, then for spatial curves and we analyze results with physical sense and convergence in order to validate these methods. Finally, we show some results from both simulated data and real data.
通过传感器带的曲线重建
本文提出了一种基于嵌入式传感器提供的切向数据重构曲线的新方法。重建过程基于传感器沿曲线分布的知识,用条带表示,以及相关的切向方向测量,而不需要任何关于它们在空间中的位置的信息,因此这个问题不是包络问题。我们首先展示如何从传感器和我们创造的原型中获得这些数据。然后给出了平面曲线和空间曲线的方法,并对结果进行了物理意义和收敛性分析,验证了这些方法的有效性。最后,给出了模拟数据和实际数据的结果。
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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