Business models for upcoming mobility solutions are complex to evaluate due to challenging environments with lots of parameters influencing the systems. The same applies for the development of autonomous systems, e.g. automated vehicles. Ensuring the functional safety of systems operating with a high degree of autonomy in an open world is currently one of the most challenging tasks of the automotive industry. RevoAI provides a technology solution to explore the parameter space for testing those systems which is efficient by orders of magnitude compared to existing approaches. Project examples:

AI driven scenario and test case exploration for validation and verification of automated driving functions.

Increasing ECU calibration efficiency for hybrid and electric vehicle configurations with AI-based optimization.

Automated (simulation) model calibration for cross-domain applications with fully customizable objectives.

Efficient trimming of MaaS (Mobility-as-a-Service) optimization problems with >100 input parameters.

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