VRI-UFPR/LWYG-drivers-attention
The official repository for "Look where you’re going: Classifying drivers' attention through 3D gaze estimation"
This system helps monitor drivers' attention by analyzing where they are looking. It takes real-time video footage of a driver as input and outputs classifications of their attention state, indicating if they are focused on the road or distracted. It's designed for automotive safety researchers, fleet managers, or developers building advanced driver-assistance systems (ADAS) who need to analyze driver behavior.
No commits in the last 6 months.
Use this if you need to automatically detect and classify driver distraction from video, such as for safety research or developing in-cabin monitoring systems.
Not ideal if you need a fully pre-packaged, production-ready commercial solution for driver monitoring, as this is a research project requiring setup.
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Python
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Last pushed
Feb 24, 2023
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