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Research on method of sensor self-calibration based on the characteristic of rectangular vanishing point

机译:基于矩形消失点特征的传感器自标定方法研究

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Vanishing point is an important concept in the sensors' self-calibration method. For traditional self-calibration method based on vanishing point, it's computationally intensive, real-time not high and noise sensitive. A novel method of sensor self-calibration based on rectangular vanishing point characteristics is proposed to solve all these problems mentioned above. Firstly, four template images are captured from different angles and locations. Subsequently, the vanishing points are calculated by using the coordinates of the four vertices in rectangle. Finally, the novel sensor parameter equation is proposed by using the geometry properties of rectangle and the vanishing points. Some numerical simulations are made to test the validity and robustness of the proposed algorithm.
机译:消失点是传感器自校准方法中的一个重要概念。对于基于消失点的传统自校准方法,该方法计算量大,实时性不高且对噪声敏感。为了解决上述所有问题,提出了一种基于矩形消失点特性的传感器自校准的新方法。首先,从不同角度和位置捕获四个模板图像。随后,通过使用矩形中四个顶点的坐标来计算消失点。最后,利用矩形的几何特性和消失点,提出了新的传感器参数方程。进行了一些数值模拟,以验证所提算法的有效性和鲁棒性。

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