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Autonomous Car System built in ROS CARLA simulation for SHELL competition, benchmarked multiple solutions from Reinforcement Learning to classic PID

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SIMULATION EVALUATION

  1. start carla: xvfb-run -a /opt/carla/CarlaUE4.sh -quality-level=Low -RenderOffScreen -nosound -opengl -graphicsadapter=0 -RenderOffScreen -benchmark -nosound -InitShader -fps=10

  2. launch bridge roslaunch carla_shell_bridge main.launch

  3. launch simualtion roslaunch shell_simulation shell_simulation.launch

TRAINING

  1. cd into ai_src cd ~/ros_ws/src/roben_ai/ai_src

  2. run opuna_study for getting behyperparameters python3 optuna_study.py

REQUIREMENTS TRACKER pip install flit CD into CarDreamer then execute this: flit install --symlink cd to dreamerv3 pip install -r requirements.txt

pip3 install ortools

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Autonomous Car System built in ROS CARLA simulation for SHELL competition, benchmarked multiple solutions from Reinforcement Learning to classic PID

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