Application of deep learning for enhancing simultaneous localization and mapping in autonomous driving
Simultaneous Localization and Mapping, commonly referred to as SLAM, represents a class of algorithms that involves constructing or updating a map of an unknown environment while simultaneously keeping track of an agent's position within it. This technique is foundational in robotics and autono...
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| 格式: | Thesis-Master by Research |
| 語言: | English |
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Nanyang Technological University
2024
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| 主題: | |
| 在線閱讀: | https://hdl.handle.net/10356/174794 |
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