Aerial Imagery Classification and Path Planning

Abstract

the purpose of our research is to improve navigation capabilities of an Unmanned Ground Vehicle (UGV) by increasing its perception range utilizing aerial or satellite imagery. We propose an adaptive system that consists of an image classifier, cost map generator and path planner, which is used for long-term path planning using overhead imagery. 

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