ML Anthology

Driver State Monitor from DELPHI

N. Edenborough, Riad I. Hammoud, A. Harbach, A. Ingold, Branislav Kisacanin, Phillip Malawey, T. Newman, G. Scharenbroch, S. Skiver, Matthew R. H. Smith, Andrew Wilhelm, Gerald J. Witt, E. Yoder, Harry Zhang
CVPR 2005 pp. 1206-1207
doi:10.1109/CVPR.2005.135 /cvpr/2005/edenborough2005cvpr-driver/

Abstract

We present an automotive-grade, real-time, vision-based driver state monitor. Upon detecting and tracking the driver's facial features, the system analyzes eye-closures and head pose to infer his/her fatigue or distraction. This information is used to warn the driver and to modulate the actions of other safety systems. The purpose of this monitor is to increase road safety by preventing drivers from falling asleep or from being overly distracted, and to improve the effectiveness of other safety systems.

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Cite

Text

Edenborough et al. "Driver State Monitor from DELPHI." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2005. doi:10.1109/CVPR.2005.135

Markdown

[Edenborough et al. "Driver State Monitor from DELPHI." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2005.](https://mlanthology.org/cvpr/2005/edenborough2005cvpr-driver/) doi:10.1109/CVPR.2005.135

BibTeX

@inproceedings{edenborough2005cvpr-driver,
  title     = {{Driver State Monitor from DELPHI}},
  author    = {Edenborough, N. and Hammoud, Riad I. and Harbach, A. and Ingold, A. and Kisacanin, Branislav and Malawey, Phillip and Newman, T. and Scharenbroch, G. and Skiver, S. and Smith, Matthew R. H. and Wilhelm, Andrew and Witt, Gerald J. and Yoder, E. and Zhang, Harry},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {2005},
  pages     = {1206-1207},
  doi       = {10.1109/CVPR.2005.135},
  url       = {https://mlanthology.org/cvpr/2005/edenborough2005cvpr-driver/}
}