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[B] Driver Behavior Understanding for Monitoring Fatigue and Anomalous Behavior in Autonomous Driving

Master Assignment

[B] Driver Behavior Understanding for Monitoring Fatigue and Anomalous Behavior in Autonomous Driving

Type: Master EE/CS/HMI

Period: TBD

Student: (Unassigned)

If you are interested, please contact :

Project Background:
As autonomous driving technology advances, ensuring the safety and well-being of drivers remains a critical concern. Monitoring driver behavior to detect fatigue and anomalous actions is essential for enhancing the safety of autonomous vehicles and reducing the risk of accidents. This project aims to develop machine learning models capable of understanding driver behavior in real-time, identifying signs of fatigue or unusual actions that could compromise safety, thereby contributing to the future of autonomous driving.


Multiple MSc students can work on this project from the following perspectives:

Why Join?

Who Should Apply?