Data analysis and machine learning in vehicle development 2026
Description
The seminar titled 'Data Analysis and Machine Learning in Vehicle Development' will be held at the Fraunhofer Institute for Industrial Mathematics in Kaiserslautern, Germany. This event focuses on the critical intersection of data analysis, machine learning, and artificial intelligence within the realm of vehicle development. With the increasing availability of rich vehicle data derived from historical measurement campaigns and real-time driving data, the seminar aims to equip participants with essential methodologies and techniques that leverage this data for enhanced vehicle design and development processes.
Highlights
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.
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