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...
| Main Author: | |
|---|---|
| Other Authors: | |
| Format: | Final Year Project (FYP) |
| Language: | English |
| Published: |
Nanyang Technological University
2023
|
| Subjects: | |
| Online Access: | https://hdl.handle.net/10356/167209 |