Robust Azimuth Measurement Method Based on Polarimetric Imaging for Bionic Polarization Navigation

Wan, Zhen-Hua; Zhao, Ke; Chu, Jinkui

doi:10.1109/tim.2019.2959291

Cited by 36 publications

(6 citation statements)

References 25 publications

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“…Tang [12] constructed the overdetermined equation about the sun azimuth and altitude, and Jin [9] established the linear analytical model to improve real-time performance. On the other hand, the projection of the solar Meridian on the sensor plane can be directly extracted by using the linear features [13], [14], symmetry [15] or the other image characteristics [1], [16], [17].…”

Section: A Heading Measurement With Polarization Sensormentioning

confidence: 99%

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Robust Heading Measurement Based on Improved Berry Model for Bionic Polarization Navigation

Zhang

Wang

et al. 2023

IEEE Trans. Instrum. Meas.

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With the advantages of anti-interference and no accumulated error, bionic polarization heading measurement has important military significance and research value for autonomous navigation. However, the heading robustness is seriously affected by the accuracy of skylight polarization model and the existing methods all use the Rayleigh scattering model without considering the atmospheric depolarization. Therefore, this paper proposed an innovative method of polarization heading measurement based on Berry model to considering the influence of depolarization neutral points. And this model is improved by controlling the neutral points with correction coefficients to realize high-robustness heading measurement. On this basis, the improved Berry model is further used to calibrate the sensor parameters outdoors, which separates the skylight polarization model error from the sensor error without expensive instruments and complicated processes, and improves the heading measurement accuracy. In the experiments with changing solar altitude, the average of heading error STD after field calibration is 20.86% lower than that of Berry model and 92.85% lower than that of Rayleigh model, which shows great advancement in actual measurements.

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Section: A Heading Measurement With Polarization Sensormentioning

confidence: 99%

“…A BSOLUTE heading measurement under the condition of Global Navigation Satellite System (GNSS) rejection or magnetic interference is a challenging problem [1]- [3]. However, to meet the requirements of long-duration and highaccuracy autonomous navigation, the inertial measurement unit(IMU) requires high cost and large volume.…”

Section: Introductionmentioning

confidence: 99%

Robust Heading Measurement Based on Improved Berry Model for Bionic Polarization Navigation

Zhang

Wang

et al. 2023

IEEE Trans. Instrum. Meas.

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“…is the scattering angle (the angle between the direction of incident light and the direction of observation), and is the polarization azimuth of the scattered light at the point (the angle between the E vector vibration direction of point and the meridian passing through point). Based on the Rayleigh scattering model, the degree and angle of polarization of any point in the sky are calculated by (1) and (2) [33]:…”

Section: A Skylight Polarization Patternmentioning

confidence: 99%

“…The imaging polarization navigation sensor mainly includes multi-camera [22], [24], [25], [27], [28], division-of-time [30]- [32], and division-of-focal-plane [26], [33]- [35] polarization imaging sensors. Compared with multi-camera and division-oftime polarization navigation sensors, the division-of-focalplane sensor has the advantages of integration and real-time.…”

mentioning

confidence: 99%

A Novel Skylight Orientation Sensor for Autonomous Navigation

Fan¹,

Zhang²,

Liu³

et al. 2021

Preprint

Self Cite

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<a></a>The angle of the polarization (AOP) and the degree of polarization (DOP) of the scattered skylight are symmetrically distributed concerning the solar meridian. Based on the symmetry of the skylight polarization distribution pattern, this paper proposes a novel skylight orientation sensor consists of a camera, an S-waveplate, and a linear polarizer. The skylight orientation sensor is using the image polarization encoding capability of the S-waveplate and the linear polarizer to convert the skylight polarization information into the image’s symmetry axis extraction, which has the advantages of no resolution loss and instantaneous field of view error. The symmetry axis in the image is consistent with the solar meridian. Therefore, the angle between the solar meridian and the skylight orientation sensor reference axis can be obtained without calculating the polarization information, which is also beneficial for real-time performance. The angle measurement accuracy and uncertainty of the skylight orientation sensor are verified by numerical simulation and outdoor experiments. The results demonstrate that the skylight orientation sensor has good application potential in autonomous navigation.

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“…By measuring the polarization characteristics of reflected or scattered light, the analysis of surface morphology information becomes possible, leading to extensive applications of polarized light in remote sensing [7,8]. For example, in passive remote sensing, the polarization characteristics of solar spectral lines serve as important carriers for navigation [9,10]; when sunlight interacts with water vapor, ice crystals, dust, sand, smoke, and other substances, polarized light can be generated, proving the physical properties of such materials [11,12]. Furthermore, polarized light plays a significant role in areas including resource exploration, vegetation and soil classification, research on the sea surface, and global atmospheric aerosol studies [5,13].…”

Section: Introductionmentioning

confidence: 99%

Polarization Lidar: Principles and Applications

Liu,

Zhang,

Zhai

et al. 2023

Photonics

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Traditional lidar techniques mainly rely on the backscattering/echo light intensity and spectrum as information sources. In contrast, polarization lidar (P-lidar) expands the dimensions of detection by utilizing the physical property of polarization. By incorporating parameters such as polarization degree, polarization angle, and ellipticity, P-lidar enhances the richness of physical information obtained from target objects, providing advantages for subsequent information analysis. Over the past five decades, the application fields of P-lidar have rapidly expanded, starting from its early use in atmospheric remote sensing to later applications in oceanic remote sensing. This review first provides a brief introduction to the basic principles of both polarization and P-lidar, along with typical systems. It then explores the applications of P-lidar in various remote sensing fields, including atmospheric, oceanic, and terrestrial domains. Additionally, we propose potential research directions based on current cutting-edge applications, with the aims of providing critical insights to researchers in the fields of polarization and lidar and inspiring further exciting ideas.

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Robust Azimuth Measurement Method Based on Polarimetric Imaging for Bionic Polarization Navigation

Cited by 36 publications

References 25 publications

Robust Heading Measurement Based on Improved Berry Model for Bionic Polarization Navigation

Robust Heading Measurement Based on Improved Berry Model for Bionic Polarization Navigation

A Novel Skylight Orientation Sensor for Autonomous Navigation

Polarization Lidar: Principles and Applications

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