Enhancing robustness and efficiency in visual SLAM through integration of deep learning-based semantic segmentation techniques
Visual SLAM is a robotics system enabling the traversal of robots in new environments without prior information. With the camera as its main sensor, it achieves the aforementioned objective through localisation and mapping algorithms based on visual information. To counter the vulnerability of...
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| Format: | Final Year Project (FYP) |
| Language: | English |
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Nanyang Technological University
2024
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| Online Access: | https://hdl.handle.net/10356/175555 |