AI shows up everywhere. This is true for the verification process of ADAS/AD functions. New approaches to automotive datalogging like smart triggering or on-the-fly anonymization of recorded data are in high demand, but requirements and implementations can vary vastly between projects. Adding an AI compute unit to your setup would mean additional space, cabling, power consumption and cooling. What if you could avoid this and integrate any AI algorithm into your datalogger as the single processing unit of your system? This presentation shows how ViGEM’s advanced scripting and virtualization capabilities allow just that.

• How AI functions can be used in a datalogging context, e.g. smart triggering or anonymization
• How you can simplify your logging setup, saving money as well as space and power in the vehicle
• The advantages of flexible datalogging solutions with high configurability and scripting capabilities
• How virtualization can enable new approaches in automotive datalogging
• How you can include your own software in an off-the-shelf datalogging toolchain