CarlaAir

CarlaAir is an open-source robotics simulator that combines CARLA urban driving with multirotor drone flight inside one Unreal Engine environment. It is designed for research involving coordinated aerial and ground autonomous systems. Vehicles, pedestrians, drones, weather, and sensor streams can coexist within the same simulated world. Users can access both CARLA and AirSim-style Python APIs to control different agents and environments. The platform supports synchronized cameras, lidar, navigation sensors, trajectory recording, and joint air-ground scenarios. ROS 2 examples connect simulated vehicles and drones to external robotics workflows and RViz. Prebuilt packages for Linux and Windows reduce setup effort for researchers studying embodied intelligence and autonomous systems.

Features

Unified drone and ground vehicle simulation
CARLA and AirSim-compatible APIs
Synchronized multimodal sensor streams
Traffic and pedestrian simulation
ROS 2 integration and RViz workflows
Air-ground embodied intelligence research tools

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License

MIT License

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