Statistical analysis and improvement of the repeatability and reproducibility of an evaluation method for IMUs on a smartphone

Nils Büscher, Lars Middendorf, C. Haubelt, R. Dorsch, F. Wegelin
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引用次数: 2

Abstract

An increasing number of mobile applications, like indoor-navigation or augmented reality, rely on highly accurate inertial sensor systems. However, there exists no standardized test for common inertial sensors, like accelerometers and gyroscopes to assess their accuracy. To easily determine the sensor system quality, a mobile sensor test application for smartphones was published recently. Although this test has several advantages, it lacks reproducibility and repeatability. As a remedy, we designed a special user interface that guides the operator through the test and helps judging the quality of the test conductance. While poorly conducted tests are neglected, only the meaningful ones are evaluated, so that our technology enables a more detailed analysis of the sensor systems. In this paper, we propose a statistical approach capable to distinguish between the four most important systematic errors we observed. Experiments with five state-of-the-art smartphones show that reproducibility and repeatability were significantly improved, enabling a fair comparison of the smartphone sensor systems.
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智能手机上imu评估方法的可重复性和再现性的统计分析和改进
越来越多的移动应用,如室内导航或增强现实,依赖于高精度的惯性传感器系统。然而,对于常见的惯性传感器,如加速度计和陀螺仪,目前还没有标准化的测试来评估它们的精度。为了方便地确定传感器系统的质量,最近发布了用于智能手机的移动传感器测试应用程序。虽然这种测试有几个优点,但它缺乏再现性和可重复性。作为补救措施,我们设计了一个特殊的用户界面,指导操作人员完成测试,并帮助判断测试电导的质量。虽然执行不佳的测试被忽略,但只有有意义的测试才会被评估,因此我们的技术可以对传感器系统进行更详细的分析。在本文中,我们提出了一种能够区分我们观察到的四个最重要的系统误差的统计方法。在五款最先进的智能手机上进行的实验表明,再现性和可重复性得到了显著提高,从而可以对智能手机传感器系统进行公平的比较。
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