Hybrid CNN-LSTM Machine Learning Algorithm for Driver Distraction Detection-Reference-Cited by-同舟云学术

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Hybrid CNN-LSTM Machine Learning Algorithm for Driver Distraction Detection

Published:2024-02-23 Issue: Volume:50 Page:1-5
ISSN:
Container-title:2024 International Conference on Integrated Circuits and Communication Systems (ICICACS)
language:
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Author:

Kothuri Sri Raman¹,Sujay V.²,Sreedhar P Siva Satya³,Juyal Prachi⁴,M Jyothi Prasad⁵,Bhuvaneshwari R⁶

Affiliation:

1. Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology,Department of CSE,Chennai,Tamil Nadu,India

2. Krishna University College of Engineering and Technology,Department of Computer Science and Engineering,Machilipatnam,Andhra Pradesh,India

3. Seshadri Rao Gudlavalleru Engineering College,Department of Information Technology,Andhra Pradesh,India

4. Graphic Era (Deemed to be University),Department of Allied Science (Mathematics),Dehradun,Uttarakhand,India

5. RMD Engineering College,Department of ECE,Chennai,Tamil Nadu,India

6. Paavai Engineering College,Department of ECE,Namakkal,Tamil Nadu,Chennai

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10498131/10498150/10498991.pdf?arnumber=10498991

Reference16 articles.

1. Identifying Heavy Goods Vehicle Driving Styles in the United Kingdom

2. Towards Real-Time Heavy Goods Vehicle Driving Behaviour Classification in the United Kingdom

3. Deep Learning Face Representation from Predicting 10,000 Classes

4. A Hardware Efficient Real-time Video processing on FPGA with OV 7670 camera interface and VGA

5. Identification and Analysis of Driver Postures for In-Vehicle Driving Activities and Secondary Tasks Recognition

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