During the development, verification, and validation of complex ADAS (advanced driver assisted systems) and AD (automated driving) functions, a huge volume of data is generated from road testing, vehicle- and component- testbeds or from simulations.
The measurement data collected over several projects and years constitute an invaluable asset. However, this is only the case if it is possible to exploit the value of the data and analyze and query it with a high level of interaction and a low response time.
Solid Test Strategies Based on Reliable Data
Our software enables the automated and highly scalable execution of analytics scripts on a large set of measurements, including time series and object data. With this feature a new key performance indicator (KPI) can be applied immediately to the entire historical data residing in the data store.
The output of the automated analytics is fed to a metadata store, where the results (e.g. detected events) enrich the original metadata of the test drive. This allows a user to query the system interactively. The queries can be expressed very intuitively with multi-data source queries as a standard feature of the platform. A simple click allows the navigation to different events. It offers a synchronized view showing videos of the test drive (e.g., front and back camera), the time series captured on the vehicle bus, and the object data from different perspectives (e.g, bird’s-eye view).