Fusing semantics and motion state detection for robust visual SLAM
Achieving robust pose tracking and mapping in highly dynamic environments is a major challenge faced by existing visual SLAM (vSLAM) systems. In this paper, we increase the robustness of existing vSLAM by accurately removing moving objects from the scene so that they will not contribute to pose esti...
| Main Authors: | , , |
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| Other Authors: | |
| Format: | Conference Paper |
| Language: | English |
| Published: |
2024
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10356/178588 |