A Mobile Robot Visual SLAM System With Enhanced Semantics Segmentation

@article{Li2020AMR,
  title={A Mobile Robot Visual SLAM System With Enhanced Semantics Segmentation},
  author={Feng Li and Weijun Li and Wenfeng Chen and Weifeng Xu and Linqing Huang and Dan Li and Shuting Cai and Ming Yang and Xiaoming Xiong and Yuan Liu},
  journal={IEEE Access},
  year={2020},
  volume={8},
  pages={25442-25458}
}
Traditional visual simultaneous localization and mapping (SLAM) systems mostly based on small-area static environments. In recent years, some studies focused on combining semantic information with visual SLAM. However, most of them are hard to obtain better performance in the large-scale dynamic environment. And the accuracy, rapidity of the system still needs to strengthen. In this paper, we develop a more efficient semantic SLAM system in the two-wheeled mobile robot by using semantic… 
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