Bio-Inspired Polarization Compass for Solar Azimuth Prediction

This work investigates and compares the predictive performance of Support Vector Machine (SVM) and Linear Regression models in determining the solar azimuth under diverse sky conditions. Stoke vector images of skylight polarization are obtained using a polarization camera and used in the designed models. This research contributes to the ongoing exploration and development of polarization compass for navigation.