Improved Traffic Sign Recognition Using Deep ConvNet Architecture

Omar Belghaouti, Wahida Handouzi, Mohamed Tabaa. Improved Traffic Sign Recognition Using Deep ConvNet Architecture. In Elhadi M. Shakshuki, Ansar-Ul-Haque Yasar, editors, The 11th International Conference on Emerging Ubiquitous Systems and Pervasive Networks (EUSPN 2020) / The 10th International Conference on Current and Future Trends of Information and Communication Technologies in Healthcare (ICTH-2020) / Affiliated Workshops, Madeira, Portugal, November 2-5, 2020. Volume 177 of Procedia Computer Science, pages 468-473, Elsevier, 2020. [doi]

@inproceedings{BelghaoutiHT20,
  title = {Improved Traffic Sign Recognition Using Deep ConvNet Architecture},
  author = {Omar Belghaouti and Wahida Handouzi and Mohamed Tabaa},
  year = {2020},
  doi = {10.1016/j.procs.2020.10.064},
  url = {https://doi.org/10.1016/j.procs.2020.10.064},
  researchr = {https://researchr.org/publication/BelghaoutiHT20},
  cites = {0},
  citedby = {0},
  pages = {468-473},
  booktitle = {The 11th International Conference on Emerging Ubiquitous Systems and Pervasive Networks (EUSPN 2020) / The 10th International Conference on Current and Future Trends of Information and Communication Technologies in Healthcare (ICTH-2020) / Affiliated Workshops, Madeira, Portugal, November 2-5, 2020},
  editor = {Elhadi M. Shakshuki and Ansar-Ul-Haque Yasar},
  volume = {177},
  series = {Procedia Computer Science},
  publisher = {Elsevier},
}