Advanced driver assistance systems (ADAS) performance depends on the complex interaction between sensors, driving scenes, control algorithms, and vehicle dynamics. ADAS teams often must deal with developing just part of the system, which makes it impossible to assess its contribution to the full vehicle performance in real-life scenarios. Therefore, the system can only be fully assessed using physical testing at the prototype stage when resolving issues is difficult and costly.
Our ADAS development framework uses a model-based systems engineering (MBSE) approach that enables automotive manufacturers and suppliers to verify system performance early on to identify real-life perception, planning, and control issues. When physical elements of the system become available, it evolves into a mixed-reality testing platform. We also work with OEMs and suppliers to adapt the framework to their needs and programs while leveraging our application know-how.
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