陀螺仪探测地形角度分类

Christofer N. Yalung, Salah S. Al-Majeed, Cid Mathew Adolfo, J. Karam, L. Mirtskhulava
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引用次数: 2

摘要

移动应用程序(app)在娱乐、通信、监控和传感等方面提供了许多优势。在本研究中,陀螺仪探索者应用程序的数据收集的方位角,俯仰和滚。这款手机由Lego Mindstorms (EV3)携带,它可以在梯子上以不同的角度移动:4.13°、7.77°、10.81°和12.80°。采集数据分为4.13°上坡、4.13°下坡、7.77°上坡、7.77°下坡、10.81°上坡、10.81°下坡、12.80°上坡、12.80°下坡8类。利用人工神经网络对车辆的角度和方向进行分类——上坡或下坡。共收集718个数据,分为三组(方位角、俯仰角和横摇角)。隐藏层中的神经元数量设置为10,产生100%的准确率分类。
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Gyroscope explorer terrain angles classification
Mobile Applications (Apps) offer numerous advantages related to entertainment, communication, monitoring and sensing to name a few. In this study, a Gyroscope Explorer Apps is employed for data gathering of azimuth, pitch, and roll. The mobile phone is carried by Lego Mindstorms (EV3), in which it travels the ladder into the different angles: 4.13°, 7.77°, 10.81°, and 12.80°. The data collected was classified into eight classes: 4.13°uphill, 4.13°downhill, 7.77° uphill, 7.77° downhill, 10.81° uphill, 10.81°downhill, 12.80° uphill, 12.80° downhill. Artificial Neural Network is used to classify the angels and the orientation of the vehicle-uphill or downhill. A total of 718 data collected and divided into three sets (azimuth, pitch and roll). The number of neurons in the hidden layer is set to 10, yielding a 100% accuracy classification.
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