Human Motion Prediction (HPM) aims to predict future human pose sequences given previous motion sequences.It has applications such as Autonomous Driving to predict pedestrians’behavior, and Human Robot Collaborations to allow the robot better to understand human intentions. In this project, you will implement an existing deep learning algorithm (e.g. Multi-layer Perceptron, Variational Autoencoder, Transformer, GAN) and evaluate its performances of motion prediction.
This topic is provided as an individual project (aka second project) since the task is separate. But multiple students can work on this topic with different assignments. However, this doesn't make it a team project.
Required skills:
- Basic knowledge in machine learning and image processing.
- Python programming skills.
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Modul | Veranstaltung | Leistungen | |
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39-M-Inf-GP Grundlagenprojekt Intelligente Systeme | weiteres Projekt | unbenotete Prüfungsleistung
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Studieninformation |
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