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VTD provides vehicle dynamics, traffic and sensor models. The sensors provide raw data and ground-truth data for machine learning (e.g. camera data and semantic segmentation data). The user implements both data for training his algorithms.

Use Cases

ADAS and Automated Driving systems.

Benefits

VTD provides consistent deterministic data from multiple sensors in a large variety of scenarios including parameterized execution of thousands of simulations in HPC and cloud environments.

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