Methodical Approach to Integrate Human Movement Diversity in Real-Time into a Virtual Test Field for Highly Automated Vehicle Systems

Recently, virtual realities and simulations play important roles in the development of automated driving functionalities. By an appropriate abstraction, they help to design, investigate communicate real traffic scenario complexity. Especially, for edge cases investigations interactions between vulnerable road users (VRU) highly functions, valid models are essential quality results. The aim this study is measure, process integrate human movement behaviour into a test environment vehicle overall system consists georeferenced city model dynamics model, including probabilistic sensor descriptions. motion capture hardware, humanoid applied avatar environment. Through retargeting methods, which enable independency person under (PuT) dimensions, diversity increased. To verify biomechanical avatars, qualitative performed, funds on representative sequence. results confirm functionality used methodology PuT independence control avatars real-time.