Open Access
ITM Web Conf.
Volume 44, 2022
International Conference on Automation, Computing and Communication 2022 (ICACC-2022)
Article Number 03051
Number of page(s) 8
Section Computing
Published online 05 May 2022
  1. Dewi, C., Chen, R. C., & Tai, S. K. (2020). Evaluation of robust spatial pyramid pooling based on convolutional neural network for traffic sign recognition system. Electronics, 9(6), 889. [CrossRef] [Google Scholar]
  2. Lim, K., Hong, Y., Choi, Y., & Byun, H. (2017). Real-time traffic sign recognition based on a general purpose GPU and deep-learning. PLoS one, 12(3), e0173317. [CrossRef] [Google Scholar]
  3. Anju, C. P. Traffic Sign Detection and Recognition. [Google Scholar]
  4. Sathya, R., Thiruvenkatasuresh, M. P., Arieth, R. M., Revathy, G., & Babu, M. D. V. (2020). INDIAN TRAFFIC ROAD SIGN RECOGNITION FOR INTELLIGENT DRIVER ASSISTANCE SYSTEM USING SVM. Journal of Critical Reviews, 7(9), 3177–3185. [Google Scholar]
  5. Shustanov, A., & Yakimov, P. (2017). CNN design for real-time traffic sign recognition. Procedia engineering, 201, 718–725. [CrossRef] [Google Scholar]
  6. Amara Dinesh Kumar R. Karthika Latha Parameswaran (2018). Novel Deep Learning Model for Traffic Sign Detection Using Capsule Networks. [Google Scholar]
  7. Qian, R., Yue, Y., Coenen, F., & Zhang, B. (2016, August). Traffic sign recognition with convolutional neural network based on max pooling positions. In 2016 12th International conference on natural computation, fuzzy systems and knowledge discovery (ICNC-FSKD) (pp.578–582). IEEE. [CrossRef] [Google Scholar]
  8. Sheikh, M. A. A., Kole, A., & Maity, T. (2016, October). Traffic sign detection and classification using colour feature and neural network. In 2016 International Conference on Intelligent Control Power and Instrumentation (ICICPI) (pp. 307–311). IEEE. [CrossRef] [Google Scholar]
  9. Kale, Amol Jayant, and R.C. Mahajan. “A road sign detection and the recognition for Driver Assistance Systems”, 2015 International Conference on Energy Systems and Applications, 2015. [Google Scholar]
  10. Fang, C.Y.. “An automatic road sign recognition system based on a computational model of human recognition processing”, Computer Vision and Image Understanding, 2004 11. [Google Scholar]
  11. Abderrahmane Adoui El Ouadrhiri, Jaroslav Burian, Said Jai Andaloussi, Rachida El Morabet, Ouail Ouchetto, Abderrahim Sekkaki. “Chapter 34 Fast-Tracking Application for Traffic Signs Recognition”, Springer Science and Business Media LLC, 2018. [Google Scholar]
  12. Jharna Majumdar, N.R. Giridhar, P.E. Gagan. “Autonomous Mobile Robot Navigation on Identifying Road Signs using ANN”, 2019 10th International Conference on Computing, Communication and Networking Technologies (ICCCNT) [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.