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Polarized skylight sensor can calculate the heading angle by detecting the polarization patterns of skylight and overcome many inherent defects of the conventional navigation methods. This paper develops a real-time bionic polarized skylight sensor. In order to eliminate the sensor’s hardware errors, an indoor calibration experiment is conducted. We also propose an image processing method to enhance the sensor’s robustness in the urban environment. The comparative experiment shows that both calibration experiment and image processing algorithm can achieve good effects.
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Qianhui Li, Yao Hu, Shaohui Zhang, Jie Cao, Qun Hao, "Calibration and image processing method for polarized skylight sensor," Proc. SPIE 11550, Optoelectronic Imaging and Multimedia Technology VII, 115500F (10 October 2020); https://doi.org/10.1117/12.2573596