Leverage real-world data for ADAS development in the SDV context
The software-defined vehicle (SDV) has become a critical approach for the development of sophisticated ADAS systems. These systems use sophisticated sensors and compute hardware generating large amounts of data, which is used for the development as well as the verification and validation (V&V) of these systems. This presentation will show how real-world data, an accurate and holistic digital twin for the vehicle, sensors, and the ECU/SoC can be integrated into a software-defined vehicle development framework. This framework allows users to adopt a shift-left methodology by integrating digital twins very early in the development process and ensuring a robust V&V workflow.