Design and Implementation of a Drunk Driving Detection System
The study analyzes driving behavior of individuals under the influence of alcohol using a validated research driving simulator. Based on the simulator’s driving variables, the investigators aim to establish algorithms capable of discriminating sober and drunk driving patterns using deep machine learning classifiers.
The study analyzes driving behavior of individuals under the influence of alcohol using a validated research driving simulator. Based on the simulator’s driving variables, the investigators aim to establish algorithms capable of discriminating sober and drunk driving patterns using deep machine learning classifiers.
It demonstrates the application of deep learning for behavioral detection, relevant to Swiss AI initiatives in safety and autonomous vehicle research.
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