Generic Sensor Modelling: A Virtual Integration Approach for the Test of ADAS

摘要

This new developed modelling technique is based on idealistic sensor models adapted with statistical measurement inaccuracies and effects in the sensor measurement space. Using the example of an automotive radar, the statistical measurement analysis is determined by a laboratory setup and typical measurement effects are observed and identified in fleet data. The application of this generic and adaptive model approach on a Hardware-in-the-Loop (HiL) test stand proves the modelling technique for functional testing of driver assistance systems.