ArticleSensors (Basel, Switzerland)2020
Sensor Modeling and Calibration Method Based on Extinction Ratio Error for Camera-Based Polarization Navigation Sensor.
Article in Sensors (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- The Structural Types of the Polarization Detection Unit in Imaging Polarimeter Based on the Stokes Parameter Method.Sensors (Basel, Switzerland) · 2025Review
- Passive Polarized Vision for Autonomous Vehicles: A Review.Sensors (Basel, Switzerland) · 2024Review
- An Improved Bio-Orientation Method Based on Direct Sunlight Compensation for Imaging Polarization Sensor.Journal of imaging · 2024Article
- Measurement Modeling and Performance Analysis of a Bionic Polarimetric Imaging Navigation Sensor Using Rayleigh Scattering to Generate Scattered Sunlight.Sensors (Basel, Switzerland) · 2024Article
- Chip-integrated metasurface full-Stokes polarimetric imaging sensor.Light, science & applications · 2023Article
- Biomimetic Polarized Light Navigation Sensor: A Review.Sensors (Basel, Switzerland) · 2023Review
- A Multi-Mode Switching Variational Bayesian Adaptive Kalman Filter Algorithm for the SINS/PNS/GMNS Navigation System of Pelagic Ships.Sensors (Basel, Switzerland) · 2022Article
- Uncertainty Evaluation in Vision-Based Techniques for the Surface Analysis of Composite Material Components.Sensors (Basel, Switzerland) · 2021Article
- Bionic Integrated Positioning Mechanism Based on Bioinspired Polarization Compass and Inertial Navigation System.Sensors (Basel, Switzerland) · 2021Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
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.
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Registered trials
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