Fast semantic-aware motion state detection for visual SLAM in dynamic environment
Existing visual SLAM (vSLAM) systems fail to perform well in dynamic environments as they cannot effectively ignore moving objects during pose estimation and mapping. We propose a lightweight approach to improve the robustness of existing feature based RGB-D and stereo vSLAM by accurately removing d...
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Main Authors: | , , , |
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格式: | Article |
語言: | English |
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2024
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在線閱讀: | https://hdl.handle.net/10356/178580 |
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機構: | Nanyang Technological University |
語言: | English |