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Information Extraction of Bionic Camera-Based Polarization Navigation Patterns Under Noisy Weather Conditions

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Abstract

Light polarization is the phenomenon that describes the oscillations and orientations of the light waves. Polarized light is a source of substantial cue for navigation in many marine and land-dwelling animals. This work investigates the challenges of obtaining information regarding polarization under various conditions by observing the phenomenology of the ommatidium in many insects. Noisy conditions can be because of haze or the presence of clouds in the atmosphere. Aerosol molecules are greater in volume and scale in such atmospheric conditions. When sunlight crosses through these molecules of aerosol, its polarization information is distorted. The distorted pattern has a little or no information on neutral points of light polarization. On the basis of the relationship between wavelength of sunlight and polarization, we propose a novel hue based color mixing (HBCM) model to calculate the polarization information and orientation information more accurately and robustly. This method improves the symmetries of polarization patterns and eliminates the effect of noises. Symmetries of polarization patterns are compared with red, green and blue (RGB) spectrum and these differences are quantified and compared especially under high noisy weather conditions.

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References

  1. SAMPER J M, LAGUNILLA J M, PEREZ R B. GPS and Galileo: Dual RF front-end receiver and design, abrication, and test [M]. New York, USA: McGraw Hill Professional, 2008.

    Google Scholar 

  2. CHENG Z, MEI T, LIANG H W. Positioning algorithm based on skylight polarization navigation [J]. IFAC Proceedings Volumes, 2013, 46(10): 97–101.

    Article  Google Scholar 

  3. BRUNNER D, LABHART T. Behavioural evidence for polarization vision in crickets [J]. Physiological Entomology, 1987, 12(1): 1–10.

    Article  Google Scholar 

  4. MAPPES M, HOMBERG U. Behavioral analysis of polarization vision in tethered flying locusts [J]. Journal of Comparative Physiology A, 2004, 190(1): 61–68.

    Article  Google Scholar 

  5. VON PHILIPSBORN A, LABHART T. A behavioural study of polarization vision in the fly, Musca domestica [J]. Journal of Comparative Physiology A: Neuroethol-ogy, Sensory, Neural, and Behavioral Physiology, 1990, 167(6): 737–743.

    Article  Google Scholar 

  6. DACKE M, NORDSTROM P, SCHOLTZ C H. Twilight orientation to polarised light in the crepuscular dung beetle Scarabaeus zambesianus [J]. Journal of Experimental Biology, 2003, 206(9): 1535–1543.

    Article  Google Scholar 

  7. LAMBRINOS D, MOLLER R, LABHART T, et al. A mobile robot employing insect strategies for navigation [J]. Robotics and Autonomous Systems, 2000, 30(1/2): 39–64.

    Article  Google Scholar 

  8. CHU J K, ZHAO K C, ZHANG Q, et al. Construction and performance test of a novel polarization sensor for navigation [J]. Sensors and Actuators A: Physical, 2008, 148(1): 75–82.

    Article  Google Scholar 

  9. ZHAO K C, CHU J K, WANG T C, et al. A novel angle algorithm of polarization sensor for navigation [J]. IEEE Transactions on Instrumentation and Measurement, 2009, 58(8): 2791–2796.

    Article  Google Scholar 

  10. FAN Z G, GAO J, PAN D K, et al. The implementation of a new integrated navigation solution with polarized-light assisting with geomagnetism and GPS [J]. Geomatics and Information Science of Wuhan University, 2009, 34(11): 1324–1327 (in Chinese).

    Google Scholar 

  11. HORVATH G, BARTA A, GAL J, et al. Ground-based full-sky imaging polarimetry of rapidly changing skies and its use for polarimetric cloud detection [J]. Applied Optics, 2002, 41: 543–559.

    Article  Google Scholar 

  12. REPPERT S M, ZHU H S, WHITE R H. Polarized light helps monarch butterflies navigate [J]. Current Biology, 2004, 14(2): 155–158.

    Article  Google Scholar 

  13. MIYAZAKI D, AMMAR M, KAWAKAMI R, et al. Estimating sunlight polarization using a fish-eye lens [J]. IPSJ Transactions on Computer Vision and Applications, 2009, 1: 288–300.

    Article  Google Scholar 

  14. LU H, ZHAO K C, YOU Z, et al. Angle algorithm based on Hough transform for imaging polarization navigation sensor [J]. Optics Express, 2015, 23(6): 7248–7262.

    Article  Google Scholar 

  15. YAN L, GUAN G X, CHEN J B, et al. The bionic orientation mechanism in the skylight polarization pattern [J]. Acta Scientiarum Naturalium Universitatis Pekinensis, 2009, 45(4): 616–620 (in Chinese).

    Google Scholar 

  16. HEGEDÜS R, ÅESSON S, HORVÁH G. Polarization patterns of thick clouds: Overcast skies have distribution of the angle of polarization similar to that of clear skies [J]. Journal of the Optical Society of America A, Optics, Image Science, and Vision, 2007, 24(8): 2347–2356.

    Article  Google Scholar 

  17. POMOZI I, HORVÁTH G, WEHNER R. How the clear-sky angle of polarization pattern continues underneath clouds: Full-sky measurements and implications for animal orientation [J]. Journal of Experimental Biology, 2001, 204(17): 2933–2942.

    Google Scholar 

  18. WANG Y J, HU X P, LIAN J X, et al. Geometric calibration algorithm of polarization camera using planar patterns [J]. Journal of Shanghai Jiao Tong University (Science), 2017, 22(1): 55–59.

    Article  Google Scholar 

  19. FAN C, HU X P, HE X F, et al. Multicamera polarized vision for the orientation with the skylight polarization patterns [J]. Optical Engineering, 2018, 57(4): 043101.

    Article  Google Scholar 

  20. KREUTER A, ZANGERL M, SCHWARZMANN M, et al. All-sky imaging: A simple, versatile system for atmospheric research [J]. Applied Optics, 2009, 48(6): 1091–1097.

    Article  Google Scholar 

  21. VOSS K J, LIU Y. Polarized radiance distribution measurements of skylight. I. System description and characterization [J]. Applied Optics, 1997, 36(24): 6083–6094.

    Article  Google Scholar 

  22. LEE R L, SAMUDIO O R. Spectral polarization of clear and hazy coastal skies [J]. Applied Optics, 2012, 51(31): 7499–7508.

    Article  Google Scholar 

  23. MA T, HU X P, ZHANG L L, et al. An evaluation of skylight polarization patterns for navigation [J]. Sensors, 2015, 15(3): 5895–5913.

    Article  Google Scholar 

  24. KRUSE A W, ALENIN A S, TYO J S. Review of visualization methods for passive polarization imaging [J]. Optical Engineering, 2019, 58(8): 082414.

    Article  Google Scholar 

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Authors and Affiliations

  1. Department of Automation, Shanghai Jiao Tong University, Shanghai, 200240, China

    Muhammad Ahsan, Yunze Cai  (蔡云泽) & Weidong Zhang  (张卫东)

  2. Key Laboratory of System Control and Information Processing, Ministry of Education of China, Shanghai Jiao Tong University, Shanghai, 200240, China

    Muhammad Ahsan, Yunze Cai  (蔡云泽) & Weidong Zhang  (张卫东)

  3. Key Laboratory of Marine Intelligent Equipment and System, Ministry of Education of China, Shanghai Jiao Tong University, Shanghai, 200240, China

    Yunze Cai  (蔡云泽)

Authors
  1. Muhammad Ahsan
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  2. Yunze Cai  (蔡云泽)
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  3. Weidong Zhang  (张卫东)
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Corresponding author

Correspondence to Yunze Cai  (蔡云泽).

Additional information

Foundation item: the National Natural Science Foundation of China (No. 61627810), and the Joint Fund of Advanced Aerospace Manufacturing Technology Research of China (No. USCAST2016)

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Ahsan, M., Cai, Y. & Zhang, W. Information Extraction of Bionic Camera-Based Polarization Navigation Patterns Under Noisy Weather Conditions. J. Shanghai Jiaotong Univ. (Sci.) 25, 18–26 (2020). https://doi.org/10.1007/s12204-020-2155-6

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  • DOI: https://doi.org/10.1007/s12204-020-2155-6

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