Carla Air

Next-Generation Open-Source Simulator for Autonomous Vehicles and Drones

Build, test, and deploy autonomous systems in a realistic virtual environment. Combining the best of CARLA and AirSim with modern tooling and performance.

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Features

Everything You Need for Autonomous Systems Development

Carla Air provides a comprehensive simulation platform with advanced features for developing and testing autonomous vehicles and drones.

Autonomous Vehicles

High-fidelity simulation for self-driving cars with realistic physics, sensors, and traffic scenarios.

Drone Simulation

Quadrotor UAV simulation with realistic flight dynamics and sensor models.

Sensor Suite

Rich sensor models including LiDAR, cameras, radar, IMU, and GPS with configurable noise profiles.

Python & ROS API

Intuitive Python API and native ROS/ROS2 integration for seamless development workflow.

Multi-Agent Support

Simulate complex scenarios with multiple vehicles, pedestrians, and dynamic environments.

High Performance

Optimized rendering with Unreal Engine for real-time performance on consumer hardware.

Custom Environments

Import custom maps and environments or use built-in urban, suburban, and highway scenarios.

Safety Testing

Comprehensive tools for edge case generation and safety-critical scenario validation.

Demo

See Carla Air in Action

Watch our demo video to see the capabilities of Carla Air simulation platform.

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Simple API

Get Started in Minutes

Carla Air provides an intuitive Python API that makes it easy to spawn vehicles, attach sensors, and run simulations with just a few lines of code.

Spawn vehicles and drones programmatically
Configure sensors with realistic noise models
Control weather, time of day, and traffic
Collect data for machine learning training

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Ready to Build the Future?

Join thousands of developers and researchers using Carla Air to advance autonomous systems technology.

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