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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書目詳細資料
主要作者: Heng, Yu Xi
其他作者: Xie Lihua
格式: Final Year Project
語言:English
出版: Nanyang Technological University 2023
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在線閱讀:https://hdl.handle.net/10356/167209
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機構: Nanyang Technological University
語言: English