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This paper presents a method for localizing an Unmanned Aerial Vehicle (UAV) in indoor or outdoor environments. The approach has the ability to estimate the 3D pose of the on-board camera by using a Harris corner detector and the Levenberg-Marquardt (LM) with the Random Sample Consensus (RANSAC) algorithm to perform detection. The implementation of such computational intensive tasks in embedded system...