Kichkun / perception_project

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perception_project

  1. Install pyKitti
  2. Download dataset (odometry 80 gb+metadata) for our project http://www.cvlibs.net/datasets/kitti/eval_odometry.php (sliced part is provided here)
  3. Play with https://github.com/windowsub0406/KITTI_Tutorial to understand how pyKitti works (example for odometry is here, now)
  4. Install pyKitti, open3d-python, scikit-learn, opencv_contrib_python and other libraries
  5. Trajectory projection (velodyne from left cam to 2D)
  6. Clustering black box
  7. SLAM with DA (or SAM) with map from previous step
  8. 3D visualization

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