  With more and more machine learning methods applied to bioinspired polarized
skylight navigation, the demand for polarized skylight navigation datasets is
more and more urgent, which can be used to train and test machine learning
methods. So, in this paper, an open polarized skylight navigation dataset is
constructed for the first time. Firstly, a polarized sky model was proposed
based on Sun position model, Berry sky model and Hosek sky model, which
contains the information of the light intensity (LI), degree of polarization
(DOP) and angle of polarization (AOP). Secondly, a polarization imaging
simulation system is constructed, which can capture not only LI, DOP and AOP
images, but also original black-and-white LI images in different polarization
directions. Black-and-white LI images are the original data collected by actual
polarization imager, so this system can completely describe the whole process
of polarization imager capturing skylight polarization patterns. Above all, a
polarized skylight navigation simulation (PSNS) dataset can be constructed. In
addition, to facilitate researchers to build their own datasets based on their
own polarized light sensors and sky models, we have disclosed the source code
of polarization imager and original LI imager on GitHub.
