Visual metric and semantic localization for UGV
During the continual transitions from lab research to real-world applications of vision-based algorithms, there are significant challenges, e.g. the robustness to adapt to complex environments and the high demands of multi-task, multi-modal learning models. More specifically on visual simultaneous l...
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格式: | Thesis-Doctor of Philosophy |
語言: | English |
出版: |
Nanyang Technological University
2022
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在線閱讀: | https://hdl.handle.net/10356/162442 |
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