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E2DR: A Deep Learning Ensemble-Based Driver Distraction Detection with Recommendations Model.

Mustafa Aljasim1, Rasha Kashef1

  • 1Electrical, Computer, and Biomedical Engineering, Ryerson University, Toronto, ON M5B 2K3, Canada.

Sensors (Basel, Switzerland)
|March 10, 2022
PubMed
Summary
This summary is machine-generated.

This study introduces E2DR, an ensemble deep learning model to detect distracted driving behaviors. It achieves 92% accuracy, offering real-time safety recommendations to reduce car accidents.

Keywords:
deep learningdistracted drivingensemble learningstacking

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Area of Science:

  • Transportation Safety
  • Artificial Intelligence
  • Computer Vision

Background:

  • Road accidents are a major global cause of death, with distracted driving responsible for over 80%.
  • Current methods for detecting driver distraction lack optimal solutions.
  • There is a need for quantitative measures and classification systems for driver activities.

Purpose of the Study:

  • To develop and implement ensemble deep learning models for classifying driver distracted actions.
  • To propose E2DR, a scalable model utilizing stacking ensemble methods for improved accuracy and generalization.
  • To provide real-time in-car recommendations to enhance driver awareness and safety.

Main Methods:

  • Implemented a portfolio of ensemble deep learning models.
  • Utilized stacking ensemble techniques to combine models like ResNet50 and VGG16.
  • Employed novel data splitting strategies on the State Farm Distracted Drivers dataset.

Main Results:

  • The E2DR model achieved a test accuracy of 92%.
  • The highest performing variant combined ResNet50 and VGG16 models.
  • The model demonstrated effectiveness in classifying distracted driving actions.

Conclusions:

  • Ensemble deep learning, specifically the E2DR model, offers a promising solution for detecting driver distraction.
  • The E2DR model enhances accuracy, generalization, and reduces overfitting in driver behavior classification.
  • Real-time recommendations from E2DR can significantly improve in-car safety and awareness.