CARLA is an open-source simulator designed for autonomous driving research. It supports development, training, and validation of autonomous driving systems including deep learning, reinforcement learning, and imitation learning approaches. The platform provides open digital assets such as urban layouts, buildings, and vehicles, along with flexible sensor suite configuration and configurable environmental conditions.