@InProceedings{sun:sii:2020,
  author    = {Sun, Leyuan and Kanehiro, Fumio and Kumagai, Iori and Yoshiyasu, Yusuke},
  title     = {Multi-purpose SLAM framework for Dynamic Environment},
  booktitle = {IEEE/SICE International Symposium on System Integration},
  year      = {2020},
  pages     = {519--524},
  address   = {Honolulu (HI), USA},
  month     = {January 12-January 15},
  url       = {https://ieeexplore.ieee.org/abstract/document/9026299/},
  keywords  = {SLAM, Dynamic Environment, Segmentation, Multi-purpose},
  doi       = {10.1109/SII46433.2020.9026299},
  abstract  = {Nowadays, SLAM in the dynamic environment has become a popular topic. This problem is called dynamic SLAM where many solutions have been proposed to segment out the dynamic objects that bring errors to camera tracking and subsequent 3D reconstruction. However, state-of-the-art dynamic SLAM methods face the problems of accuracy and speed, which is due to the fact that one segmentation algorithm cannot guarantee both points at the same time. In this paper, we propose a multi-purpose dynamic SLAM framework to provide}
}