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Methodology for the Evaluation of Magneto-Inertial Orientation Filters in SO(3)

机译:SO(3)中磁惯性方向滤波器的评估方法

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In the last years, inertial measurement units are playing a primary role in bioengineering for motion tracking research. These devices are cost-effective and can be successfully used for accurate, non-invasive and portable motion tracking.In the literature there is a lack of rigorously assessment in the accuracy estimation of the orientation. Technical specification of commercial systems reported by vendors are presented with caveats and are poorly documented.The objective of this work is to find a standard and reliable methodology, defined in SO(3) orthogonal group, to tune and compare sensor fusion filters used to get orientation from M-IMU sensors. As a matter of fact, each filter exploits some gain parameters to tune the output of the filter. Knowing that, it is important to understand how to tune these parameters, but also find a way to compare all the filters, in order to understand which of them is the best solution to apply.To evaluate this method we have chosen a set of filter already present in the state of the art and we generated, starting from a known trajectory, synthetic M-IMU data to be used as ground truth, in order to compare the orientation angle defined by this trajectory with output of the sensor fusion algorithms.The output error is very low, around 0.005 rad by mean. This results evidences the reliability and efficacy of our method and confirms how the tuning of gain parameters can drive through better performance.
机译:近年来,惯性测量单元在运动跟踪研究的生物工程中起着主要作用。这些设备具有成本效益,可以成功地用于精确,非侵入性和便携式运动跟踪。在文献中,缺乏对方向精度估计的严格评估。供应商报告的商业系统的技术规范带有警告,并且文献很少。这项工作的目的是找到在SO(3)正交组中定义的标准和可靠的方法,以调整和比较用于获得从M-IMU传感器定位。实际上,每个滤波器都利用一些增益参数来调整滤波器的输出。知道这一点,了解如何调整这些参数,同时找到一种比较所有滤波器的方法很重要,以便了解其中哪个是最适用的解决方案。为评估此方法,我们选择了一组滤波器现有技术中已经存在,我们从已知轨迹开始生成合成M-IMU数据用作地面真相,以便将该轨迹定义的定向角与传感器融合算法的输出进行比较。输出误差非常低,平均约为0.005 rad。该结果证明了我们方法的可靠性和有效性,并证实了增益参数的调整如何可以驱动更好的性能。

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