CARLA
Open-source simulator for autonomous driving research.
Overview
CARLA (Car Learning to Act) is an open-source simulator for autonomous driving research. It has been developed from the ground up to support development, training, and validation of autonomous driving systems. In addition to open-source code and protocols, CARLA provides open digital assets (urban layouts, buildings, vehicles) that were created for this purpose and can be used freely. The simulation platform supports flexible specification of sensor suites and environmental conditions.
✨ Key Features
- Open-source and free to use
- Built on Unreal Engine for high-quality graphics
- Python API for controlling the simulation
- Scalable and modular architecture
- Supports a variety of sensors
- Large and active community
🎯 Key Differentiators
- High-quality graphics and realism powered by Unreal Engine
- Focus on providing a flexible and extensible platform for research
- Large and active open-source community
Unique Value: Provides a free, open-source, and high-fidelity simulation platform for autonomous driving research, fostering collaboration and innovation in the field.
🎯 Use Cases (4)
✅ Best For
- Widely used in the academic and research community for autonomous driving research.
💡 Check With Vendor
Verify these considerations match your specific requirements:
- May require more technical expertise to set up and use compared to commercial simulators.
🏆 Alternatives
Offers superior visual quality and a more specialized focus on autonomous driving compared to more general-purpose robotics simulators like Gazebo.
💻 Platforms
✅ Offline Mode Available
🔌 Integrations
🛟 Support Options
- ✓ Live Chat
- ✓ Dedicated Support (NA tier)
💰 Pricing
Free tier: Full access to the simulator and its features.
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