DDSS: An AI Powered System for Driver Safety

Author:

Batra NeeraORCID,Goyal SonaliORCID

Publisher

Springer Nature Singapore

Reference9 articles.

1. Sukrit M et al (2019) Real time driver drowsiness detection system using eye aspect ratio and eye closure ratio. In: International conference on sustainable computing science, technology and management

2. Wijnands JS, Thompson J, Nice KA et al (2020) Real-time monitoring of driver drowsiness on mobile platforms using 3D neural networks. Neural Comput Appl 32:9731–9743

3. Ramzan M, Khan HU, Awan SM, Ismail A, Ilyas M, Mahmood A (2019) A survey on state-of-the-art drowsiness detection techniques. IEEE Access 7:61904–61919

4. Jacobé de Naurois C, Bourdin C, Stratulat A, Diaz E, Vercher J-L (2019) Detection and prediction of driver drowsiness using artificial neural network models. Accid Anal Prev 126:95–104

5. Navya Kiran VB, Raksha R, Rahman A, Varsha KN, Dr. Nagamani NP (2020) Driver drowsiness detection. Int J Eng Res Technol (Ijert) Ncait 8(15)

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