tianyeeee / modern-slam-tutorial-python

learning and feeling SLAM together with hands-on-experiments

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modern-slam-tutorial-python

  • Learning and feeling SLAM together with hands-on-experiments ๐Ÿ˜€ ๐Ÿ˜ƒ ๐Ÿ˜†

Dependencies

  • Most of the examples are based on GTSAM. use $ pip install gtsam and I prefer using conda environment.
    • Also, I'll (want to) also use Pytorch to study recent differentiable factor-graph optimization works.

Contents

  1. robust_pgo: a robust pose-graph optimization

To be continued ...

Contact

  • gisbi.kim@gmail.com

Plan

  • Other geometric optimization for SLAM
    • Non-rigid ICP
    • Rotation initialization
    • ...
  • Trying GTSAM integration with Open3D, scipy, Pytorch, etc ...

About

learning and feeling SLAM together with hands-on-experiments

License:BSD 2-Clause "Simplified" License


Languages

Language:Jupyter Notebook 100.0%