1 code implementation • 17 Sep 2022 • Shihao Shen, Yilin Cai, Wenshan Wang, Sebastian Scherer
Learning-based visual odometry (VO) algorithms achieve remarkable performance on common static scenes, benefiting from high-capacity models and massive annotated data, but tend to fail in dynamic, populated environments.
no code implementations • 12 May 2022 • Shihao Shen, Yilin Cai, Jiayi Qiu, Guangzhao Li
We propose a dense dynamic RGB-D SLAM pipeline based on a learning-based visual odometry, TartanVO.