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View Code? Open in Web Editor NEWiSLAM: Imperative SLAM (RA-L 2024) is a novel Visual-Inertial SLAM using Self-supervised Learning
Home Page: https://sairlab.org/iSLAM/
License: Other
iSLAM: Imperative SLAM (RA-L 2024) is a novel Visual-Inertial SLAM using Self-supervised Learning
Home Page: https://sairlab.org/iSLAM/
License: Other
Great idea for self-supervised SLAM!
I have a question about how do you define the low vs high for level.
Is it because BA optimize against the raw image observation, while deep networks learns the high level feature?
But in another perspective, BA seems more high level for it's closer to the final purpose, while feature matching is more low level for it's doing raw image feature matching.
Hope to know about your definitions for this.
@wang-chen
Thanks for your interesting work. Is the refined front-end able to do pose estimation in new scenes that are not used in the training process?
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