每天一篇313/365 UnDeepVO: Monocular Visual Odometry through Unsupervised Deep Learning補
UnDeepVO: Monocular Visual Odometry through Unsupervised Deep Learning code 摘要 本文提出了一種新的單目視覺里程計（VO）系統UnDeepVO。uneepvo能夠利用深度神經網絡估計單目相機的六自由度姿態和景深。該方法有兩個顯著特點：一是無監督的深度學習方案，二是絕對尺度恢復。具體地說，我們使用立體圖像對來訓練不可重複性，
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相關文章
- 1. 每天一篇論文 345/365 D3VO: Deep Depth, Deep Pose and Deep Uncertaintyfor Monocular Visual Odometry
- 2. 每天一篇論文 369/1000 D3VO: Deep Depth, Deep Pose and Deep Uncertainty for Monocular Visual Odometry
- 3. 無監督學習的視覺里程計 UnDeepVO: Monocular Visual Odometry through Unsupervised DeepLearning 論文筆記
- 4. 每天一篇論文 275/365 SGANVO: Unsupervised Deep Visual Odometry and Depth Estimation with Stacked Generativ
- 5. 每天一篇論文 283/376 Deep Virtual Stereo Odometry: Leveraging Deep Depth Prediction for Monocular DSO
- 6. LIMO: Lidar-Monocular Visual Odometry
- 7. 每天一天論文 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. 每天一篇論文342/365 Self-Supervised Deep Pose Corrections for Robust Visual Odometry
- 10. [解讀] Deep Clustering for Unsupervised Learning of Visual Features