[代碼學習] Real-time Depth Enhanced Monocular Odometry概述
《Real-time Depth Enhanced Monocular Odometry》是Ji Zhang等大牛於2014年發表在IROS的一篇論文。這篇論文將普通的單目相機和其他設備獲取的深度信息相結合，設計了一個里程計。 論文的獲取鏈接:論文鏈接 源代碼的獲取鏈接：demo_rgbd以及demo_lidar 這篇文章的大致思路是通過單目相機獲取RGB圖像，通過LiDAR或者是RGB-D相機獲
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相關文章
- 1. 代碼學習(3)（總結）： Unsupervised Monocular Depth Estimation with Left-Right Consistency
- 2. D3VO: Deep Depth, Deep Pose and Deep Uncertainty for Monocular Visual Odometry
- 3. LIMO: Lidar-Monocular Visual Odometry
- 4. 每天一篇論文 283/376 Deep Virtual Stereo Odometry: Leveraging Deep Depth Prediction for Monocular DSO
- 5. 每天一篇論文 369/1000 D3VO: Deep Depth, Deep Pose and Deep Uncertainty for Monocular Visual Odometry
- 6. 每天一篇論文 345/365 D3VO: Deep Depth, Deep Pose and Deep Uncertaintyfor Monocular Visual Odometry
- 7. 【IROS2018】Unsupervised Odometry and Depth Learning for Endoscopic Capsule Robots
- 8. Depth from Videos in the Wild：Unsupervised Monocular Depth Learning from Unknown Cameras
- 9. Digging Into Self-Supervised Monocular Depth Estimation（2019.8）
- 10. 景深 | Depth from Videos in the Wild: Unsupervised Monocular Depth Learning from Unknown Cameras