The workflow of FTI-SLAM framework. The SLAM front-end comprises federated learning-enhanced deep neural networks for odometry, embedding, and loop closure detection. After optimising odometry based ...
The Minimal Texture Dataset for RGB-SLAM consists of 16 conceptually simple but challenging sequences. We group the sequences as Extreme Geometry, Loop, Sand, and Easy. The Easy set contains control ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results