SGANVO uses stacked GAN layers with recurrent connections to estimate depth and ego-motion unsupervisedly from images, reporting better or comparable results on the KITTI dataset.
”Are we ready for autonomous driving? the kitti vision benchmark suite.” 2012 IEEE Conference on Computer Vision and Pattern Recognition
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SGANVO: Unsupervised Deep Visual Odometry and Depth Estimation with Stacked Generative Adversarial Networks
SGANVO uses stacked GAN layers with recurrent connections to estimate depth and ego-motion unsupervisedly from images, reporting better or comparable results on the KITTI dataset.