The following configuration examples show some typical scenarios for the data-driven software development for autonomous vehicles.
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.Image Anonymization
Accelerate AD development by fully automated AI-powered image anonymizationData Annotation
On fast track to accurate ground truth data by deep learning assisted 2-D/3-D sensor data annotationScenario Generation
Generating realistic scenarios based on real-world camera data for large scale simulationData Replay
High-performance, synchronous replay of sensor raw data and vehicle bus data.Testing Multisensor Systems
Closed-loop HIL testing of multisensor systemsTesting Functions for Highly Automated Driving on PC Clusters and in the Cloud
Highly scalable simulation and scenario-based testing methodology to ensure adequate test coverage