Technical Article: Verification of Driver Assistance Systems in the Vehicle and in the Laboratory

Driver assistance systems acquire the vehicle's environment via a wide variety of sensors. Warnings to the driver or (semi-) autonomous interventions in the driving situation are always made based on correct results of the object recognition algorithms. This article addresses the typical challenges that arise in verifying object data and testing the image processing algorithm.

The XCP standard enables the necessary high data throughput in measurement and calibration. The use of existing tools based on XCP – such as CANape and devices of the VX1000 product line-up – is a convenient solution for ADAS ECUs too.

Figure Technical Article ADAS

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