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Frontload safety and comfort of ADAS systems

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.

Using model-based systems engineering to streamline ADAS development

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.

Explore the content below to learn more.

Using model-based systems engineering to develop a comprehensive digital twin of ADAS features
Case Study

Using model-based systems engineering to develop a comprehensive digital twin of ADAS features

Using model-based systems engineering to develop a comprehensive digital twin of ADAS features

Supporting ADAS development using a virtual / physical framework
White Paper

Supporting ADAS development using a virtual / physical framework

ADAS development using a closed-loop verification methodology, focusing on algorithms, safety and comfort.

Validation and verification of physics-based sensor simulation
Webinar

Validation and verification of physics-based sensor simulation

Complete verification and validation of automotive physics-based sensor simulation during development by modeling a digital twin environment. Learn more