Pubblicato su stage4eu il: 24/04/2025 BMW, Master Thesis autonomous driving
BMW Group
Lilienthalallee 26, Munchen, Germania
Informatica/ICT, Engineering
6 mesi
Retribuito
Benefit: Alloggio con 2-3 studenti
Attività:
- Conduct a comprehensive literature review to understand the state-of-the-art (SOTA) techniques in facial expression analysis and their applications in user experience quantification.
- Collect front face images during driving simulator experiments to create a robust dataset for facial expression evaluation.
- Label and preprocess the collected facial images to prepare the data for model training, ensuring high-quality and consistent annotations.
- Develop and implement machine learning models for facial expression recognition, focusing on accuracy and computational performance.
- Train and validate the models using the collected dataset, employing various techniques to enhance model performance and reliability.
- Apply statistical analysis to correlate facial expression data with subjective UX feedback, providing a comprehensive understanding of user experience.
Requisiti principali:
- - Strong understanding of machine learning and computer vision techniques.
- Proficiency in programming languages such as Python, and familiarity with machine learning libraries (e.g., PyTorch, PyTorch Lightning).
- Experience with Linux.
- Experience with data collection, labeling, and preprocessing techniques.
- Knowledge of facial expression recognition and UX analysis methods is a plus.
- Strong statistical analytics skills and the ability to draw meaningful conclusions from experimental data.
- Strong communication abilities.
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