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

doi:10.1007/s12204-020-2155-6

Journal of Shanghai Jiao Tong University (Science) ›› 2020, Vol. 25 ›› Issue (1): 18-26.doi: 10.1007/s12204-020-2155-6

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

AHSAN Muhammad ^a,b, CAI Yunze ^a,b,c* (蔡云泽), ZHANG Weidong ^a,b (张卫东)

(a. Department of Automation; b. Key Laboratory of System Control and Information Processing, Ministry of Education of China; c. Key Laboratory of Marine Intelligent Equipment and System, Ministry of Education of China, Shanghai Jiao Tong University, Shanghai 200240, China)

出版日期:2020-01-15 发布日期:2020-01-12
通讯作者: CAI Yunze (蔡云泽) E-mail:yzcai@sjtu.edu.cn

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

AHSAN Muhammad ^a,b, CAI Yunze ^a,b,c* (蔡云泽), ZHANG Weidong^a,b (张卫东)

(a. Department of Automation; b. Key Laboratory of System Control and Information Processing, Ministry of Education of China; c. Key Laboratory of Marine Intelligent Equipment and System, Ministry of Education of China, Shanghai Jiao Tong University, Shanghai 200240, China)

Online:2020-01-15 Published:2020-01-12
Contact: CAI Yunze (蔡云泽) E-mail:yzcai@sjtu.edu.cn

摘要/Abstract

摘要： 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.

关键词: light polarization, ommatidium, aerosols, neutral points, hue based color mixing (HBCM)

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.

Key words: light polarization, ommatidium, aerosols, neutral points, hue based color mixing (HBCM)

中图分类号:

TN 911.73

AHSAN Muhammad, CAI Yunze (蔡云泽), ZHANG Weidong (张卫东). Information Extraction of Bionic Camera-Based Polarization Navigation Patterns Under Noisy Weather Conditions[J]. Journal of Shanghai Jiao Tong University (Science), 2020, 25(1): 18-26.

参考文献 24

[1]	SAMPER J M, LAGUNILLA J M, PEREZ R B. GPS and Galileo: Dual RF front-end receiver and design,fabrication, and test [M]. New York, USA: McGraw Hill Professional, 2008.
[2]	CHENG Z, MEI T, LIANG H W. Positioning algorithm based on skylight polarization navigation [J].IFAC Proceedings Volumes, 2013, 46(10): 97-101.
[3]	BRUNNER D, LABHART T. Behavioural evidence for polarization vision in crickets [J]. Physiological Entomology, 1987, 12(1): 1-10.
[4]	MAPPES M, HOMBERG U. Behavioral analysis of polarization vision in tethered °ying locusts [J]. Journal of Comparative Physiology A, 2004, 190(1): 61-68.
[5]	VON PHILIPSBORN A, LABHART T. A behavioural study of polarization vision in the °y, Musca domestica[J]. Journal of Comparative Physiology A: Neuroethology, Sensory, Neural, and Behavioral Physiology, 1990,167(6): 737-743.
[6]	DACKE M, NORDSTR?M 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.
[7]	LAMBRINOS D, M?LLER R, LABHART T, et al. A mobile robot employing insect strategies for navigation[J]. Robotics and Autonomous Systems, 2000, 30(1/2):39-64.
[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.
[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.
[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).
[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.
[12]	REPPERT S M, ZHU H S, WHITE R H. Polarized light helps monarch butter°ies navigate [J]. Current Biology, 2004, 14(2): 155-158.
[13]	MIYAZAKI D, AMMAR M, KAWAKAMI R, et al. Estimating sunlight polarization using a ˉsh-eye lens [J]. IPSJ Transactions on Computer Vision and Applications, 2009, 1: 288-300.
[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.
[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).
[16]	HEGED?US R, oAESSON S, HORV?AH 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.
[17]	POMOZI I, HORV?ATH 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.
[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.
[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.
[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.
[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.
[22]	LEE R L, SAMUDIO O R. Spectral polarization of clear and hazy coastal skies [J]. Applied Optics, 2012,51(31): 7499-7508.
[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.
[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.

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