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SGANVO: Unsupervised Deep Visual Odometry and Depth Estimation with Stacked Generative Adversarial Networks
Recently end-to-end unsupervised deep learning methods have achieved an effect beyond geometric methods for visual depth and ego-motion estimation tasks.
UnDeepVO: Monocular Visual Odometry through Unsupervised Deep Learning
UnDeepVO is able to estimate the 6-DoF pose of a monocular camera and the depth of its view by using deep neural networks.
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