Autonomous vehicle control with CARLA using Learning by Cheating (two front facing camera system)
Create a conda environment with Python 3.7
conda create --name carla python=3.7
Activate the conda environment
conda activate carla
Clone the github repository
git clone https://github.com/MOONLABIISERB/AI_Planning_and_Control.git
Use the package manager pip to install dependencies listed in requirements.txt
.
pip install -r requirements.txt
Download the model checkpoints from google drive to the root folder.
Open a terminal and run CARLA Server
./CarlaUE4.sh -RenderOffScreen -fps=10 -benchmark
cd to <path/to/root>/PythonAPI/examples
cd <path/to/root>/PythonAPI/examples
python auto_drive_new.py --agent=LBC