GD-MVO: Monocular Geometric Visual Odometry Using Image Depth Prediction

Traditional geometric methods estimate camera motion trajectories by analyzing image feature points or pixel information, demonstrating robust performance in certain scenarios. However, these approaches struggle in low-texture and highly dynamic environments. In contrast, end-to-end neural networks...

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Bibliographic Details

Published in:	IEEE Access
Main Authors:	Zhuang Li, Jianjun Chen, Abdul Waheed, Fei Wang, Yan Fan
Format:	Article
Language:	English
Published:	IEEE 2025-01-01
Subjects:	Visual odometry self-supervised learning depth prediction FLANN
Online Access:	https://ieeexplore.ieee.org/document/10971935/