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Sensor Modeling and Calibration Method Based on Extinction Ratio Error for Camera-Based Polarization Navigation Sensor

机译：基于灭火比误差对基于相机的极化导航传感器的传感器建模与校准方法

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摘要

The performance of camera-based polarization sensors largely depends on the estimated model parameters obtained through calibration. Limited by manufacturing processes, the low extinction ratio and inconsistency of the polarizer can reduce the measurement accuracy of the sensor. To account for the challenges, one extinction ratio coefficient was introduced into the calibration model to unify the light intensity of two orthogonal channels. Since the introduced extinction ratio coefficient is associated with degree of polarization (DOP), a new calibration method considering both azimuth of polarization (AOP) error and DOP error for the bionic camera-based polarization sensor was proposed to improve the accuracy of the calibration model parameter estimation. To evaluate the performance of the proposed camera-based polarization calibration model using the new calibration method, both indoor and outdoor calibration experiments were carried out. It was found that the new calibration method for the proposed calibration model could achieve desirable performance in terms of stability and robustness of the calculated AOP and DOP values.
机译：基于相机的偏振传感器的性能在很大程度上取决于通过校准获得的估计模型参数。由制造过程的限制，偏振器的低消光比和不一致可以降低传感器的测量精度。为了考虑挑战，将一个消光比系数引入校准模型中以统一两个正交通道的光强度。由于引入的消光比系数与极化程度（DOP）相关联，因此提出了考虑抗原偏振（AOP）误差和DOP误差的新校准方法，以提高校准模型的准确性参数估计。为了评估所提出的基于相机的偏振校准模型的性能，使用新的校准方法，进行室内和室外校准实验。结果发现，所提出的校准模型的新校准方法可以在计算出的AOP和DOP值的稳定性和鲁棒性方面实现所需的性能。

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