KwanWaiPang/Awesome-Learning-based-VO-VIO
Paper Survey for Learning-based Odometry
This resource provides a curated list of research papers and related materials focused on using machine learning for odometry and SLAM. It helps researchers and engineers quickly find academic works on topics like visual, visual-inertial, and LiDAR odometry, as well as Semantic and NeRF SLAM. You can use this to explore recent advancements and find specific papers that relate to tracking motion and building maps from sensor data.
161 stars.
Use this if you are a researcher or engineer in robotics, computer vision, or autonomous systems looking for a comprehensive survey of learning-based approaches to odometry and SLAM.
Not ideal if you are looking for ready-to-use software implementations or tutorials for practical application development without diving into academic literature.
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Feb 18, 2026
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