Synthetic Data Generation
Create object perception and control datasets for training machine learning (ML) on simulated scenarios.
Publish simulated sensor feeds for AIS, Radar and optical cameras
Publish ground-truth location and tracking data for objects
Simulate noise in GPS/IMU data-feeds
Simulate lighting conditions, sea conditions and more
Cutting-edge, realistic scene renders using the latest game engine technology
Direct support from Greenroom to do transfer learning from synthetic data using Vision AI
Autonomy System Development
Real-world testing can be a costly, time-consuming, and inherently risky endeavor
Common Operating Picture
Parses data from hundreds of real-world sensor feeds and builds a Common Operating Picture (COP) in the MIS-SIM 3D world.
Real Scenario Testing
Test robotic or human-in-the-loop systems against the real-world using live or historic sensor data.