Detecting Driver Drowsiness as an Anomaly Using LSTM Autoencoders

Gülin Tüfekci, Alper Kayabasi, Erdem Akagündüz, Ilkay Ulusoy. Detecting Driver Drowsiness as an Anomaly Using LSTM Autoencoders. In Leonid Karlinsky, Tomer Michaeli, Ko Nishino, editors, Computer Vision - ECCV 2022 Workshops - Tel Aviv, Israel, October 23-27, 2022, Proceedings, Part VI. Volume 13806 of Lecture Notes in Computer Science, pages 549-559, Springer, 2022. [doi]

@inproceedings{TufekciKAU22,
  title = {Detecting Driver Drowsiness as an Anomaly Using LSTM Autoencoders},
  author = {Gülin Tüfekci and Alper Kayabasi and Erdem Akagündüz and Ilkay Ulusoy},
  year = {2022},
  doi = {10.1007/978-3-031-25075-0_37},
  url = {https://doi.org/10.1007/978-3-031-25075-0_37},
  researchr = {https://researchr.org/publication/TufekciKAU22},
  cites = {0},
  citedby = {0},
  pages = {549-559},
  booktitle = {Computer Vision - ECCV 2022 Workshops - Tel Aviv, Israel, October 23-27, 2022, Proceedings, Part VI},
  editor = {Leonid Karlinsky and Tomer Michaeli and Ko Nishino},
  volume = {13806},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-031-25075-0},
}