Construction and Test of Bio-Inspired Imaging Polarization Navigation Prototype

Abstract

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.

Ultraviolet vs. Visible Skylight Polarization Measurements

“…We implemented image processing on two separated codes: a first one which displays AoP l and DoLP and a second one, Sun Azimuth Axis Finder, SAAF, which finds sun azimuth relying on the ±90 • AoP l property of the sun meridian. This second image processing software, inspired by H. Lu et al [10], consists on a binary threshold on the AoP l around ±90 • followed by a Hough transform, centered on the image's center and considering only small radius.…”