Driver Drowsiness Detection with Region-of-Interest Selection Based Spatio-Temporal Deep Convolutional-LSTM-Reference-Cited by-同舟云学术

Driver Drowsiness Detection with Region-of-Interest Selection Based Spatio-Temporal Deep Convolutional-LSTM

Published:2022-12-14 Issue: Volume: Page:
ISSN:
Container-title:2022 16th International Conference on Open Source Systems and Technologies (ICOSST)
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Author:

Basit Muhammad Saif¹,Ahmad Usman¹,Ahmad Jameel¹,Ijaz Khalid²,Ali Syed Farooq³

Affiliation:

1. SST UMT,Dept. of Computer Science,Lahore,Pakistan

2. SEN UMT,Dept. of Electrical Engineering,Lahore,Pakistan

3. SST UMT,Dept. of Software Engineering,Lahore,Pakistan

Publisher

IEEE

Link

Reference22 articles.

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3. Driver Assistance Systems with Driver Drowsiness Detection Using Haar-Cascade Algorithm;2023 3rd International Conference on Advancement in Electronics & Communication Engineering (AECE);2023-11-23

4. Comparative Study of CNN Architectures For Driver Drowsiness;2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT);2023-07-06