Abstract

The growing complexity of services a modern car has to provide is one of the challenges the T&M industry is facing today. Autonomous driving systems enforce the need to think about the mobility service as a system of systems and thus challenge system architect teams of the OEM as well as the ADAS validation teams. The suppliers of ADAS innovative features are challenged by the need to prove the actual capability of their technology to to fulfil the requirements of the OEMs from sensor design to delivery of advanced ADAS features during requests for information and requests for quotation phases. The use of Model-Based System engineering methodology enables the collaboration between suppliers and OEMs by the definition of a common understanding of the assistant system behavior from the system mission to validation plan, clarifying the interfaces and the shared responsibilities. MBSE study will drive the sensor hardware and software design of the supplier empowering the right trade-off and optimization made with 3D electromagnetic (EM) simulations. The 3D EM simulations will allow the supplier to verify PCB performance of the sensors or ADAS pack as implemented in the OEM car as well as provide necessary information to generate a surrogate sensor model usable in a driving simulation platform used by OEMs. The driving simulation platform simulates vehicles, sensors, real life traffic conditions, regulatory or NCAP rating driving scenarios. It also simulates the entire surrounding environment to design and validate the algorithms and the software underlying the ADAS mission. The goal is to match the expected safety and reliability targets of innovative ADAS features. We contemplate illustrating the unified and seamless design experience enforcing the digital continuity brought by the openness of the different design platforms from the sensor technology trade-offs to the delivery of sensor models and ADAS algorithms in the context of missions defined by the OEMs.