With advances in unmanned and autonomous vehicles, camera-based navigation is increasingly being used. A new low-cost navigation solution based on monochrome polarization filter arrays cameras is presented. For this purpose, we have developed our own acquisition pipeline and an image processing algorithm to find the relative heading of an Unmanned Ground Vehicle (UGV) thanks to the skylight polarization. The precision of the method has been quantified using a rotary stage. Then the system has been mounted on the UGV and the estimated heading is compared to a reference given by a GPS/Inertial Navigation System.
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