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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Bibliographic Details
Main Author: Heng, Yu Xi
Other Authors: Xie Lihua
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2023
Subjects:
Online Access:https://hdl.handle.net/10356/167209
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Institution: Nanyang Technological University
Language: English