ndrplz/dreyeve
[TPAMI 2018] Predicting the Driver’s Focus of Attention: the DR(eye)VE Project. A deep neural network learnt to reproduce the human driver focus of attention (FoA) in a variety of real-world driving scenarios.
This project helps automotive safety researchers and autonomous vehicle developers understand where a human driver looks in various real-world scenarios. By inputting driving video footage, it outputs a detailed map showing the driver's predicted focus of attention. This allows users to analyze human visual behavior and use it to inform the design and testing of advanced driver-assistance systems.
113 stars. No commits in the last 6 months.
Use this if you need to analyze or predict where a human driver's attention is focused during different driving situations.
Not ideal if you are looking for a plug-and-play solution for real-time in-vehicle eye-tracking, as this is a research project for analysis.
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113
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36
Language
C
License
MIT
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Last pushed
Sep 03, 2019
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