Driver Behavior Recognition via Interwoven Deep Convolutional Neural Nets With Multi-Stream Inputs

@article{Zhang2020DriverBR,
  title={Driver Behavior Recognition via Interwoven Deep Convolutional Neural Nets With Multi-Stream Inputs},
  author={Chaoyun Zhang and R. Li and W. Kim and D. Yoon and Paul Patras},
  journal={IEEE Access},
  year={2020},
  volume={8},
  pages={191138-191151}
}
  • Chaoyun Zhang, R. Li, +2 authors Paul Patras
  • Published 2020
  • Computer Science
  • IEEE Access
  • Understanding driver activity is vital for in-vehicle systems that aim to reduce the incidence of car accidents rooted in cognitive distraction. Automating real-time behavior recognition while ensuring actions classification with high accuracy is however challenging, given the multitude of circumstances surrounding drivers, the unique traits of individuals, and the computational constraints imposed by in-vehicle embedded platforms. Prior work fails to jointly meet these runtime/accuracy… CONTINUE READING
    9 Citations
    End-To-End Driver Distraction Recognition Using Novel Low Lighting Support Dataset
    Active Vision-Based Attention Monitoring System for Non-Distracted Driving
    • Highly Influenced
    Deep Neural Mobile Networking
    • PDF
    Comparisons of Machine Learning Algorithms for Driving Behavior Recognition Using In-Vehicle CAN Bus Data
    • W. Chen, Y. Lin, Wei-Hao Chen
    • Computer Science
    • 2019 Joint 8th International Conference on Informatics, Electronics & Vision (ICIEV) and 2019 3rd International Conference on Imaging, Vision & Pattern Recognition (icIVPR)
    • 2019
    • 1

    References

    SHOWING 1-10 OF 64 REFERENCES
    Driver Activity Recognition for Intelligent Vehicles: A Deep Learning Approach
    • 52
    • PDF
    Recognition of driver distractions using deep learning
    • 3
    Real-Time Driver State Monitoring Using a CNN Based Spatio-Temporal Approach*
    • 5
    • PDF
    Distracted driver classification using deep learning
    • 4
    Drive-Net: Convolutional Network for Driver Distraction Detection
    • 9
    • PDF
    Intent Prediction of Pedestrians via Motion Trajectories Using Stacked Recurrent Neural Networks
    • 19
    Two-Stream Convolutional Networks for Action Recognition in Videos
    • 4,380
    • PDF
    Are You Paying Attention? Detecting Distracted Driving in Real-Time
    • 5