Thus, it is important to develop visual SLAM algorithms that can determine their own positions and perceive the environment in real dynamic environments. This paper proposes a lightweight robust dynamic SLAM system based on a novel semantic segmentation network (LRD-SLAM). In the pr...
As shown in Table4, LRD-SLAM (C) has the best RMSE value. LRD-SLAM (P) is slightly less accurate than compared to ORB-SLAM2. LRD-SLAM (P) masks the multiview geometry method; thus, it greatly outperforms LRD-SLAM (C) in terms of calculating time. Then, the APE between LRD-SLAM...