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Brake Pedal Displacement Measuring System based on Machine Vision

机译:基于机器视觉的刹车踏板位移测量系统

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摘要

Displacement of brake pedal was an important characteristic of driving behavior. This paper proposed a displacement measure algorithm based on machine vision. Image of brake pedal was captured by camera from left side, and images were processed in industry computer. Firstly, average smooth algorithm and wavelet transform algorithm were used to smooth the original image consecutively. Then, edge extracting method which combined Roberts's operator with wavelet analysis was used to identify the edge of brake pedal. At last, least square method was adopted to recognize the characteristic line of brake pedal's displacement. The experimental results demonstrated that the proposed method takes the advantages of Roberts's operator and wavelet transform, it can obtain better measurement result as well as linear displacement sensors.
机译:制动踏板的位移是驾驶行为的重要特征。提出了一种基于机器视觉的位移测量算法。制动踏板的图像由摄像机从左侧捕获,图像在工业计算机中进行处理。首先,采用平均平滑算法和小波变换算法对原始图像进行连续平滑处理。然后,结合罗伯茨的算子和小波分析的边缘提取方法来识别制动踏板的边缘。最后,采用最小二乘法来识别制动踏板位移的特征线。实验结果表明,该方法具有罗伯茨算子和小波变换的优点,可以获得较好的测量结果以及线性位移传感器。

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