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A stereo vision based three-dimensional (3D) ego-motion estimation system was proposed and tested to enable real-time navigation for a full-scale agricultural vehicle. A stereo camera was used to track features in image sequences which were then matched to obtain 3D point clouds that can be used for motion estimation. To overcome the challenges of uneven terrains, relative rotation and translation...
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