CARLA (Car Learning to Act) is an open-source simulator for autonomous driving research. It provides a realistic and customizable urban environment with a wide range of sensors, actors (vehicles, pedestrians), and traffic scenarios. It is commonly used for training and validating autonomous vehicle algorithms in a safe and controlled setting before deployment in the real world.
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