딥러닝 + SLAM
딥러닝 기반 모듈의 등장: SuperPoint/SuperGlue, NetVLAD, Depth estimation, Depth completion, Object detection, Semantic Segmentation
딥러닝 기반 SLAM: UnDeepVO, TartanVO
딥러닝 프론트엔드: D3VO
Semantic Understanding: CNN-SLAM, SemanticFusion, CubeSLAM, Fusion++
Deep Factor optimization: code, NeRF
참고 : https://www.cv-learn.com/20230102-2022-seminar-showdown/
Visual-SLAM developer roadmap
참고 : https://www.cv-learn.com/20210121-visual-slam-roadmap-beginner/
Done is better than perfect.