Data analysis and machine learning in vehicle development 2026

Opis

Najważniejsze punkty

Introduction to data analysis and machine learning fundamentals. Exploration of supervised, unsupervised, and reinforcement learning methods. Techniques for identifying and approximating dynamic systems for prediction and control. Application scenarios including usage profile derivation from customer data. Development of driver and operator models based on data analysis. Utilization of machine learning in traffic system simulation and control. Automated structuring and classification of environmental data. Creation of virtual sensors through machine learning for nonlinear vehicle subsystems. Enhancing simulation efficiency using machine learning surrogate models. Seminar conducted in German language.