DytanVO: Joint Refinement of Visual Odometry and Motion Segmentation in Dynamic Environments
Author:
Affiliation:
1. Robotics Institute, Carnegie Mellon University,Pittsburgh,PA,USA,15213
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10160211/10160212/10161306.pdf?arnumber=10161306
Reference44 articles.
1. MID-Fusion: Octree-based Object-Level Multi-Instance Dynamic SLAM
2. Upgrading Optical Flow to 3D Scene Flow Through Optical Expansion
3. Visual SLAM Based on Dynamic Object Removal
4. Learning to Segment Rigid Motions from Two Frames
5. Improving RGB-D SLAM in dynamic environments: A motion removal approach
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