Tasks
1. Familiarization with the topic of quality management in the racing environment, processing time series data, and machine learning based on time series.
2. Conducting a literature review on requirements and existing approaches (if applicable).
3. Determining potential savings and implementation budgets: Economic viability assessment of various AI-based methods.
4. Defining the key topics and potential areas of application.
5. Concept development and conducting an initial statistical analysis if applicable.
6. Concept study for automated data processing and generation, comparing different training approaches and models if applicable.
7. Examining integration options into the existing process landscape.
8. Documenting, presenting, and exploiting the research results.
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