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

Haonan Ren1, Jian Yang1,2,3, Xin Liu1

  • 1School of Automation Science and Electrical Engineering, Beihang University, Beijing 100191, China.

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|July 10, 2020
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Summary
This summary is machine-generated.

This study introduces a new calibration method for camera-based polarization sensors, improving accuracy by addressing errors in azimuth of polarization (AOP) and degree of polarization (DOP). The method enhances the stability and robustness of polarization measurements.

Keywords:
calibration modeldegree of polarization errorinconsistency of the extinction ratiopolarization sensorsensor model

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Area of Science:

  • Optics and Photonics
  • Computer Vision
  • Sensor Technology

Background:

  • Camera-based polarization sensor performance relies heavily on accurate calibration model parameters.
  • Manufacturing limitations like low extinction ratio and polarizer inconsistency degrade measurement accuracy.
  • Existing calibration models struggle to fully account for these real-world sensor imperfections.

Purpose of the Study:

  • To develop a novel calibration method for bionic camera-based polarization sensors.
  • To improve the accuracy of polarization sensor calibration by addressing azimuth of polarization (AOP) and degree of polarization (DOP) errors.
  • To enhance the stability and robustness of estimated polarization parameters.

Main Methods:

  • Introduced an extinction ratio coefficient into the calibration model to unify orthogonal channel light intensity.
  • Developed a new calibration method incorporating both AOP error and DOP error.
  • Conducted indoor and outdoor calibration experiments to validate the proposed method.

Main Results:

  • The new calibration method demonstrated desirable performance in improving polarization sensor accuracy.
  • Calculated azimuth of polarization (AOP) and degree of polarization (DOP) values exhibited enhanced stability and robustness.
  • The unified extinction ratio coefficient effectively compensated for polarizer inconsistencies.

Conclusions:

  • The proposed calibration method significantly enhances the accuracy of camera-based polarization sensor parameter estimation.
  • The approach effectively addresses limitations posed by polarizer imperfections and manufacturing inconsistencies.
  • This work contributes to more reliable and robust polarization imaging applications.