Driver Fatigue Detection via Eye State Analyses Based on Deep Learning Approach

Author:

Kır Savaş Burcu,Becerikli Yaşar

Publisher

Springer International Publishing

Reference38 articles.

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2. Nvidia, NVIDIA DRIVE IX Self-Driving Vehicles|NVIDIA Automotive. https://www.nvidia.com/en-us/self-driving-cars/drive-ix/. Accessed 16 Nov 2020

3. VentureBeat, Autonomous cars could end drowsy driving, but don’t hold your breath. https://venturebeat.com/2017/11/19/autonomous-cars-couldend-drowsy-driving-but-dont-hold-your-breath/. Accessed 14 Jan 2020

4. Pratama, B.G., Ardiyanto, I., Adji, T.B.: A review on driver drowsiness based on image, bio-signal, and driver behavior. In: IEEE International Conference on Science and Technology-Computer, Yogyakarta/Indonesia (2017)

5. Kang, H.B.: Various approaches for driver and driving behavior monitoring: a review. In: Proc. IEEE Int. Conf. Comput. Vis., Aralık (2013)

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