SectionKey: 3-D semantic point cloud descriptor for place recognition in large-scale environments
Place recognition is seen as a crucial factor to correct cumulative errors in Simultaneous Localization and Mapping (SLAM) applications. Most existing place recognition studies focus on vision-based approaches, which are sensitive to environmental changes such as illumination, weather, and season...
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| 格式: | Thesis-Master by Coursework |
| 語言: | English |
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Nanyang Technological University
2022
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| 在線閱讀: | https://hdl.handle.net/10356/156767 |
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| 機構: | Nanyang Technological University |
| 語言: | English |