每天一篇313/365 UnDeepVO: Monocular Visual Odometry through Unsupervised Deep Learning补

时间 2020-12-30

标签每天一篇论文365 繁體版

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UnDeepVO: Monocular Visual Odometry through Unsupervised Deep Learning code 摘要本文提出了一种新的单目视觉里程计（VO）系统UnDeepVO。uneepvo能够利用深度神经网络估计单目相机的六自由度姿态和景深。该方法有两个显著特点：一是无监督的深度学习方案，二是绝对尺度恢复。具体地说，我们使用立体图像对来训练不可重复性，

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1. 每天一篇论文 345/365 D3VO: Deep Depth, Deep Pose and Deep Uncertaintyfor Monocular Visual Odometry
2. 每天一篇论文 369/1000 D3VO: Deep Depth, Deep Pose and Deep Uncertainty for Monocular Visual Odometry
3. 无监督学习的视觉里程计 UnDeepVO: Monocular Visual Odometry through Unsupervised DeepLearning 论文笔记
4. 每天一篇论文 275/365 SGANVO: Unsupervised Deep Visual Odometry and Depth Estimation with Stacked Generativ
5. 每天一篇论文 283/376 Deep Virtual Stereo Odometry: Leveraging Deep Depth Prediction for Monocular DSO
6. LIMO: Lidar-Monocular Visual Odometry
7. 每天一天论文 292 /365 Vision-Aided Absolute Trajectory Estimation Using an Unsupervised Deep Network
8. D3VO: Deep Depth, Deep Pose and Deep Uncertainty for Monocular Visual Odometry
9. 每天一篇论文342/365 Self-Supervised Deep Pose Corrections for Robust Visual Odometry
10. [解读] Deep Clustering for Unsupervised Learning of Visual Features

>>更多相关文章<<