Amelio-rater: Detection and Classification of Driving Abnormal Behaviours for Automated Ratings and Real-Time Monitoring

Noha El Masry, Passant El-Dorry, Mariam El Ashram, Ayman Atia, Jiro Tanaka

研究成果: Conference contribution

1 引用 (Scopus)

抜粋

Real-time monitoring of the drivers may be a factor that would force them to drive safely. In this paper, we introduce a system named 'Amelio-Rater", that focuses on detection and classification of abnormal driving behaviours for automatically generating driver ratings and real-time monitoring. To reduce malicious ratings, the Amelio-rater introduces an automatic rating system which is calculated purely based on the driver's driving behaviours only. Each driver will be given his own Amelio-rater rate and a manual user rate. There are multiple types of driving abnormal behaviours monitored by the proposed system such as meandering, single weaves, sudden changing of lanes and speeding. The classification results achieved showed that the Amelio-rater reached an accuracy of 95%. Our experiments showed that the manual user rates given for the driving behaviour are not far from the rates given by Amelio-rater. Amelio-rater rates were very close to the actual rates given by the users.

元の言語English
ホスト出版物のタイトルProceedings - 2018 13th International Conference on Computer Engineering and Systems, ICCES 2018
編集者Ahmed M. Zaki, Mohamad Taher, M. Watheq El-Kharashi, Ashraf Salem, Ayman M. Bahaa El-Din, Hazem M. Abbas
出版者Institute of Electrical and Electronics Engineers Inc.
ページ609-616
ページ数8
ISBN(電子版)9781538651117
DOI
出版物ステータスPublished - 2019 2 11
イベント13th International Conference on Computer Engineering and Systems, ICCES 2018 - Cairo, Egypt
継続期間: 2018 12 182018 12 19

出版物シリーズ

名前Proceedings - 2018 13th International Conference on Computer Engineering and Systems, ICCES 2018

Conference

Conference13th International Conference on Computer Engineering and Systems, ICCES 2018
Egypt
Cairo
期間18/12/1818/12/19

    フィンガープリント

ASJC Scopus subject areas

  • Artificial Intelligence
  • Software
  • Control and Optimization
  • Modelling and Simulation
  • Signal Processing
  • Computer Networks and Communications
  • Computer Vision and Pattern Recognition
  • Hardware and Architecture

これを引用

El Masry, N., El-Dorry, P., El Ashram, M., Atia, A., & Tanaka, J. (2019). Amelio-rater: Detection and Classification of Driving Abnormal Behaviours for Automated Ratings and Real-Time Monitoring. : A. M. Zaki, M. Taher, M. W. El-Kharashi, A. Salem, A. M. Bahaa El-Din, & H. M. Abbas (版), Proceedings - 2018 13th International Conference on Computer Engineering and Systems, ICCES 2018 (pp. 609-616). [8639398] (Proceedings - 2018 13th International Conference on Computer Engineering and Systems, ICCES 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCES.2018.8639398