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 AnonymizationAccelerate AD development by fully automated AI-powered image anonymization
Data AnnotationOn fast track to accurate ground truth data by deep learning assisted 2-D/3-D sensor data annotation
Scenario GenerationGenerating realistic scenarios based on real-world camera data for large scale simulation
Data ReplayHigh-performance, synchronous replay of sensor raw data and vehicle bus data.
Testing Multisensor SystemsClosed-loop HIL testing of multisensor systems
Testing Functions for Highly Automated Driving on PC Clusters and in the CloudHighly scalable simulation and scenario-based testing methodology to ensure adequate test coverage
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