TOPO-EPFL/CrossLoc
[CVPR'22] CrossLoc localization: a cross-modal visual representation learning method for absolute localization
CrossLoc helps drone operators and roboticists precisely determine a drone's location using visual data, especially in environments where GPS might be unreliable or unavailable. It takes drone-captured images, both real and synthetic, and outputs highly accurate absolute localization. This tool is ideal for researchers and engineers developing autonomous aerial vehicles.
110 stars. No commits in the last 6 months.
Use this if you need to achieve highly accurate absolute localization for drones or other aerial vehicles by leveraging both real and synthetic visual data.
Not ideal if you are looking for a plug-and-play solution for general GPS-based navigation or if your primary need is not highly precise visual localization.
Stars
110
Forks
7
Language
Python
License
MIT
Category
Last pushed
Aug 19, 2022
Commits (30d)
0
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