What is Parallel Domain?
Parallel Domain offers a comprehensive platform for testing and analyzing perception system performance in autonomous systems. The platform includes an API, SDK, and Web Tools designed for machine learning, computer vision, and perception teams.
Parallel Domain supports open or closed-loop simulation, enabling the streaming of high-fidelity camera, lidar, and radar data with full annotations. This allows for programmatic testing and analysis at scale, ensuring robust and reliable performance in real-world conditions.
Features
- Simulation API: Programmatically test and analyze perception system performance.
- High-Fidelity Sensor Simulation: Stream camera, lidar, and radar data with full annotations.
- PD Replica: Generate digital twins from capture data for realistic simulation environments.
- SDK and Web Tools: Tools for machine learning, computer vision, and perception teams.
- Open/Closed-Loop Simulation: Supports various simulation configurations.
Use Cases
- Testing autonomous vehicle systems.
- Analyzing perception system performance in drones.
- Developing and validating robotics applications.
- Improving machine learning models for autonomous systems.
- Generating synthetic datasets for training AI.
- Creating digital twins for simulation purposes.
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