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

Project Samples

Project Activity

See All Activity >

License

MIT License

Follow CarlaAir

CarlaAir Web Site

Other Useful Business Software

MongoDB Atlas runs apps anywhere

Deploy in 115+ regions with the modern database for every enterprise.

MongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.

Start Free

Rate This Project