The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Articles | Volume XLIII-B1-2020
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B1-2020, 323–329, 2020
https://doi.org/10.5194/isprs-archives-XLIII-B1-2020-323-2020
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B1-2020, 323–329, 2020
https://doi.org/10.5194/isprs-archives-XLIII-B1-2020-323-2020

  06 Aug 2020

06 Aug 2020

CONSTRUCTION AND TEST OF BIO-INSPIRED IMAGING POLARIZATION NAVIGATION PROTOTYPE

H. Lu1, Y. Xie1, K. Zhang1, H. Zhang1, X. M. Zou1, J. Wang1, and K. C. Zhao2 H. Lu et al.
  • 1Beijing Aerospace Control Center, Beijing, China
  • 2State Key Laboratory of Precision Measurement Technology and Instruments, Tsinghua University, Beijing, China

Keywords: Bio-inspired Navigation, Imaging Polarization Navigation, Field-division Imaging Polarimetry, Real-time Navigation Sensor, Accuracy Calibration, Dynamic Navigation Experiment

Abstract. Bio-inspired polarization navigation is a promising navigation method inspired by insects’ autonomous foraging and homing behaviour. Many insects acquire their spatial orientation by sensing the polarization pattern of the skylight. We propose utilization of solar meridian in the polarized skylight as an orientation cue because of its significant features. Using its features, we then design and construct an imaging polarization navigation prototype. The prototype consists of a field-division polarization imaging sensor, the corresponding software, an interface, and the solar-meridian recognizing and measurement algorithm. The field-division polarization imaging sensor is the core component of the prototype and acquires polarized intensity images. To adapt to the demand of real-time on navigation system, we then propose an optimized real-time polarization image processing and pattern recognition algorithm based on Hough transform. The azimuth measurement accuracy of the sensor is then calibrated using a facility that is able to get higher azimuth accuracy by measurement of the star light. To verify the navigation capability of the developed system, we use a dynamic experiment, where the prototype is installed on the top of a vehicle and its navigation performance is compared with GNSS.