Detecting Driver Drowsiness as an Anomaly Using LSTM Autoencoders

Tüfekci et al. "Detecting Driver Drowsiness as an Anomaly Using LSTM Autoencoders." European Conference on Computer Vision Workshops, 2022. doi:10.1007/978-3-031-25075-0_37

[Tüfekci et al. "Detecting Driver Drowsiness as an Anomaly Using LSTM Autoencoders." European Conference on Computer Vision Workshops, 2022.](https://mlanthology.org/eccvw/2022/tufekci2022eccvw-detecting/) doi:10.1007/978-3-031-25075-0_37

@inproceedings{tufekci2022eccvw-detecting,
  title     = {{Detecting Driver Drowsiness as an Anomaly Using LSTM Autoencoders}},
  author    = {Tüfekci, Gülin and Kayabasi, Alper and Akagündüz, Erdem and Ulusoy, Ilkay},
  booktitle = {European Conference on Computer Vision Workshops},
  year      = {2022},
  pages     = {549-559},
  doi       = {10.1007/978-3-031-25075-0_37},
  url       = {https://mlanthology.org/eccvw/2022/tufekci2022eccvw-detecting/}
}