4.3. Generating a Map

There are multiple reasons to generate a Map. As simulation basis (not used yet), as ground truth or as map to preload while driving. There are multiple sourced to generate a Map. Generating a random, rule-compliant map (not supported yet), generating maps as defined in the rule book or competition handbook (e.g. skidpad and acceleration) or generating a map from a drone image or video.

4.3.1. Genetaring a Map as defined in the rulebook

4.3.1.1. Generating a rule-defined Acceleration map

  1. Open the src/slam/scripts/jupyter_notebooks/generate_acceleration.ipynb Jupyter notebook.

  2. Adapt the test_day variable according to the Test day you are generating the map for.

  3. Adapt all other paramaters according to the track layout you are generating the map for.

4.3.1.2. Generating a rule-defined Skidpad map

  1. Open the src/slam/scripts/jupyter_notebooks/generate_skidpad_json.ipynb Jupyter notebook.

  2. Adapt the test_day variable according to the Test day you are creating the map for.

  3. Adapt all other paramaters according to the track layout you are generating the map for.