Real-time SLAM with deep features (XFeat + ORB-SLAM3)
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Updated
Sep 5, 2024 - C++
Real-time SLAM with deep features (XFeat + ORB-SLAM3)
Resources for SiTAR, a situated trajectory analysis system for AR which provides in-the-wild pose error estimates
A Docker image equipped with ORB-SLAM 3 and ready for dev. No more GPU, dependencies and build problems !
Comparing machine and human perception of environment texture for AR
ORB-SLAM3 - With Optimized Asynchronous Remote Feature Collection Modification
Twilight SLAM is unique framework augmenting the SLAM navigation frameworks with low-light image enhancement modules for navigating in dusky or extremely low-light or any illumination rendered featureless environments.
A Windows compatible version of ORB-SLAM3 (https://github.com/UZ-SLAMLab/ORB_SLAM3)
Useful scripts and configs for preprocessing ORB-SLAM3 datasets
Setup and working of orbslamv3 on ros kinetic on ubuntu 16.04
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