Abstract
The paper presents the way of operation of a Vision-Based Navigation (VBN) system based on the Scene Matching Area Correlation (SMAC) algorithm and demonstrates its applicability for highly autonomous navigation of Unmanned Aerial Vehicles (UAVs). Chosen simulation results included in the paper show that the algorithm proposed by the authors works properly in ideal conditions and demonstrate its acceptable performance in case of typical problems met in VBN systems, i.e. differences of scales of compared images due to altitude errors and their rotation with respect to each other due to yaw errors.
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