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首页> 外文会议>International Conference on Advances in Big Data, Computing and Data Communication Systems >An Efficient Algorithm to Acquire Displacement from Live Streaming Acceleration
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An Efficient Algorithm to Acquire Displacement from Live Streaming Acceleration

机译：从实时流加速获取位移的有效算法

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摘要

Computing displacement from measured acceleration is important for various computer vision activities. Such displacements are not obtained easily with a good accuracy. The aim of this paper is to develop an algorithm to acquire the displacement realized from a mobile platform such as a wheelchair travelling a definite distance. The algorithm uses mainly the information from the accelerometer and minimizes the error between the desired displacement and the actual displacement travelled by the mobile platform. In essence, this paper proposes a novel technique to derive displacements using the Fourier transformed acceleration divided by the scaling factor of -ω2 while zero-padding the noise signal to reduce the margin of errors and their size. Experiments prove that the system is reliable and provides accurate pose estimates. The proposed algorithm was tested on real indoor environments using Matlab software and the experimental results demonstrate its precision compared to other techniques.
机译：根据测得的加速度计算位移对于各种计算机视觉活动很重要。这样的位移不容易以高精度获得。本文的目的是开发一种算法，以获取从移动平台（例如，行驶一定距离的轮椅）实现的位移。该算法主要使用来自加速度计的信息，并最大程度地减少了所需位移与移动平台实际位移之间的误差。本质上，本文提出了一种新技术，该技术使用傅立叶变换加速度除以-ω的比例因子来得出位移 2 同时对噪声信号进行零填充，以减少误差容限及其大小。实验证明该系统是可靠的，并且可以提供准确的姿势估计。该算法通过Matlab软件在真实的室内环境下进行了测试，实验结果表明了该算法与其他技术相比的精度。

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