2020 Semantic SLAM With More Accurate Point C... View this post on Instagram 2020 Semantic SLAM With More Accurate Point Cloud Map in Dynamic Environments [论文阅读] contributions: 1) We extend the mask of the dynamic object to include more information about the object. 2) A bidirectional search strategy is proposed to track the bounding box of the dynamic object. 3) We integrate our approach with ORB-SLAM2 system. Evaluations and method comparisons are per- formed with the TUMRGB-D dataset. Our SLAM system can obtain clean and accurate global point cloud maps in both highly and lowly dynamic environments. blog： https://www.ybliu.com/2020/07/2020-semantic-slam-with-more-accurate.html?m=1 A post shared by Walk into AI World (@roboticsslam) on Jul 20, 2020 at 6:41pm PDT
