GANVO: unsupervised deep monocular visual odometry and depth estimation with generative adversarial networks
In the last decade, supervised deep learning approaches have been extensively employed in visual odometry (VO) applications, which is not feasible in environments where labelled data is not abundant. On the other hand, unsupervised deep learning approaches for localization and mapping in unknown env...
| Main Authors: | , , , , |
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| Format: | Conference item |
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IEEE Xplore
2019
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