Learning-aided visual inertial odometry for mobile robots
This research presents a novel approach to visual-inertial odometry (VIO) for challenging environments based on VINS-Fusion. The proposed method utilizes a deep learning technique to enhance the performance of the state estimation. The proposed approach employs semantic segmentation to highlight...
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Main Author: | Heng, Yu Xi |
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Other Authors: | Xie Lihua |
Format: | Final Year Project |
Language: | English |
Published: |
Nanyang Technological University
2023
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Online Access: | https://hdl.handle.net/10356/167209 |
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Institution: | Nanyang Technological University |
Language: | English |
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