Welcome to the SLAM Learning Repository! This repository contains resources and materials for learning Simultaneous Localization and Mapping (SLAM). It consists of two main modules:
This submodule includes tutorials and examples written in Octave for understanding and implementing SLAM algorithms. I used the lectures of Cyrill Stachniss and these scripts to better understand SLAM.
The second submodule provides calibration results that can be used with the OpenVINS algorithm. These calibration results are essential for accurate sensor fusion and localization. I used ROS bags to callibrate, which I could not upload (too heavy).
We are testing algorithms and learning about other algorithms! Soon I will upload more work.