thomasfermi / Algorithms-for-Automated-Driving

Each chapter of this (mini-)book guides you in programming one important software component for automated driving.

Home Page:https://thomasfermi.github.io/Algorithms-for-Automated-Driving/Introduction/intro.html

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Set up proper test notebook for CameraCalibration chapter

thomasfermi opened this issue · comments

The CameraCalibration currently has a notebook for tests, but this is not the form the students should see.

  • There should be text explaining stuff
  • We need the google colab header at the beginning like in the other test notebooks
  • From the book chapter I have the understanding that the video shall be fed to the CameraCalibrator? Then this needs to be added in this notebook. Also the student needs to know what values for pitch and yaw they should expect to get.

Remaining work:

Improve code/tests/camera_calibration/test_calibrated_lane_detector.ipynb

  • (Optional): Have separate tests for get_intersection and get_py_from_vp that are independent of any lane detection results.