Novel Driver Distractions Dataset With Low Lighting Support

Published: 13 October 2020| Version 2 | DOI: 10.17632/ykmr99nrsg.2
Contributors:
MOHAMED HUSSIEN,
Mahmoud Khalil,
Hazem Abbas

Description

we present the largest ten-classes driver distractions dataset to date with temporal information. The dataset was captured by a raspberry pi NoIR (No IR filter) camera which enables the dataset to be captured at different lighting conditions using IR LEDs. A number of 70 drivers of both genders were involved in this dataset. The dataset was collected using five different car models.

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Institutions

Ain Shams University Faculty of Engineering

Categories

Computer Vision, Machine Learning, Distracted Driving, Driver Behavior, Driver Distraction, Action Learning, Deep Learning

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