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# System prepended metadata

title: MOM - 03.02.2023

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# MOM - 03.02.2023
- Plan: 
  - design a simple scenario (car in 4 different adverse conditions: day/night + rain/no rain)
  - each car has its own sensor set (camera only, camera + lidar)
  - limit the different classes set (3, 4)
  - Get ground truth for (position + bounding boxes) from CARLA
  - 1 data generator
  - Compare (position + bounding boxes) from detection model against ground truth in all adverse conditions scenarios (performance metric: mAP)
- Tasks:
  - Ahmad: 
     - provide the detection model (camera)
     - search  for the proper detection model (multi-modal)
 - Mostafa:
     - Build simple scenario in CARLA with sensors & stuff (Python) (starting point: visualize_multiple_sensors.py in PythonAPI/Examples)

- Workaround:
    - Impose different noise matrices for the adverse conditions in case of no proper detection model(s)

- important docs:
  - paper: https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=9551968
 