CARLA
🔧 Toolcarla-simulator
Open-source simulator for autonomous driving research.
CARLA (Car Learning to Act) is an open-source simulator designed to support the development, training, and validation of autonomous driving systems. Built on Unreal Engine 4, it offers high-fidelity 3D urban environments with dynamic traffic, pedestrians, and weather conditions. The simulator includes a rich sensor suite (cameras, LiDAR, radar, GNSS) and a flexible Python API for controlling agents, environments, and scenarios. Researchers can use it for reinforcement learning, imitation learning, perception, and planning. It also integrates with ROS for real-world deployment and provides benchmark scenarios for reproducibility.
💡Highlights
- ├─Realistic urban scenes
- ├─Multi-sensor simulation
- └─Python API
🎯For
- ├─Researchers
- ├─Autonomous Driving Engineers
- └─Computer Vision Scientists