Distracted Driver Detection Using Deep Learning
Author:
Affiliation:
1. Universiti Teknologi MARA,Vehicle Intelligence and Telematics Lab, School of Electrical Engineering, College of Engineering,Shah Alam,Selangor,Malaysia,40450
Funder
Universiti Teknologi MARA
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9781838/9781823/09781938.pdf?arnumber=9781938
Reference21 articles.
1. Distracted driver detection and classification;chawan;International Journal of Engineering Research and Applications,2018
2. Driver drowsiness detection using ANN image processing
3. Real-time Driver Drowsiness Detection for Android Application Using Deep Neural Networks Techniques
4. Image processing for driver's safety and vehicle control using raspberry Pi and webcam
5. Drive-Net: Convolutional Network for Driver Distraction Detection
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2. Drowsy Driving Detection System Using Face Detection;2023 3rd International Conference on Technological Advancements in Computational Sciences (ICTACS);2023-11-01
3. Detecting Distracted Drivers Using Convolutional Neural Networks;2023 Fourth International Conference on Intelligent Data Science Technologies and Applications (IDSTA);2023-10-24
4. Structure Consistent Unsupervised Domain Adaptation for Driver Behavior Recognition;2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC);2023-09-24
5. An Ensemble Approach for Identification of Distracted Driver by Implementing Transfer Learned Deep CNN Architectures;2022 25th International Conference on Computer and Information Technology (ICCIT);2022-12-17
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