Fast, time-correlated logging of relevant data during real test drives with a variety of environmental sensors, such as a camera, radar, or lidar, and vehicle buses.

Accelerate AD development by fully automated AI-powered image anonymization

On fast track to accurate ground truth data by deep learning assisted 2-D/3-D sensor data annotation

Generating realistic scenarios based on real-world camera data for large scale simulation

High-performance, synchronous replay of sensor raw data and vehicle bus data.

Closed-loop HIL testing of multisensor systems

Highly scalable simulation and scenario-based testing methodology to ensure adequate test coverage