D3VO: Deep Depth, Deep Pose and Deep Uncertainty for Monocular Visual Odometry
論文地址：https://arxiv.org/pdf/2003.01060.pdf 參考文獻：http://www.javashuo.com/article/p-dncgyqar-pv.html 作者提出了一種單目視覺里程計的方法，利用深度學習預測depth、pose和uncertainty，來提高視覺里程計的估計精度。depth採用自監督的方式訓練。 DepthNet 將ResNet-18作
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相關文章
- 1. 每天一篇論文 369/1000 D3VO: Deep Depth, Deep Pose and Deep Uncertainty for Monocular Visual Odometry
- 2. 每天一篇論文 345/365 D3VO: Deep Depth, Deep Pose and Deep Uncertaintyfor Monocular Visual Odometry
- 3. 每天一篇論文 283/376 Deep Virtual Stereo Odometry: Leveraging Deep Depth Prediction for Monocular DSO
- 4. Deep Learning Models and Code for Pose Estimation
- 5. VLocNet++: Deep Multitask Learning for Semantic Visual Localization and Odometry 語義視覺定位與里程計
- 6. 每天一篇313/365 UnDeepVO: Monocular Visual Odometry through Unsupervised Deep Learning補
- 7. 每天一篇論文 275/365 SGANVO: Unsupervised Deep Visual Odometry and Depth Estimation with Stacked Generativ
- 8. Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
- 9. 每天一篇論文342/365 Self-Supervised Deep Pose Corrections for Robust Visual Odometry
- 10. Deep High-Resolution Representation Learning for Human Pose Estimation