Driving into the Future: Artificial Intelligence based Traffic Sign Recognition using Learning Assisted OCR Principle-Reference-Cited by-同舟云学术

Driving into the Future: Artificial Intelligence based Traffic Sign Recognition using Learning Assisted OCR Principle

Published:2024-03-14 Issue: Volume: Page:262-266
ISSN:
Container-title:2024 International Conference on Automation and Computation (AUTOCOM)
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Author:

Kirubakaran D¹,Lakshmisridevi S.²,Ramal P. Janaki³,Rajeswari M.⁴,Rani A. Jaya Mabel⁵,Pandi V.Samuthira⁶

Affiliation:

1. R.M.K Engineering College,Department of Computer Science and Engineering,Chennai,Tamil Nadu,India

2. BS Abdur Rahman Crescent Institute of Science and Technology,Department of Computer Science and Engineering,Chennai,Tamil Nadu,India

3. Saveetha Engineering College,Department of computer Science and Engineering,Chennai,Tamil Nadu,India

4. Prince Shri Venkateshwara Padmavathy Engineering College,Department of Electronics and Communication Engineering,Chennai,Tamil Nadu,India

5. Saveetha Institute of Medical and Technical Sciences,Saveetha School of Engineering,Department of Computer Science and Engineering,Chennai,Tamil Nadu,India

6. Centre for Advanced Wireless Integrated Technology Chennai Institute of Technology,Chennai,Tamil Nadu,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10485643/10485644/10486186.pdf?arnumber=10486186

Reference15 articles.

1. Traffic Sign Detection and Recognition using a CNN Ensemble

2. Recent Advances in Traffic Sign Recognition: Approaches and Datasets

3. Automated Recognition of Cancer Tissues through Deep Learning Framework from the Photoacoustic Specimen

4. Indian traffic sign detection and recognition using deep learning

5. A novel of multi-hop transmission in integrated network of WLAN IEEE 802.11n and IEEE 802.11g using Riverbed Modeler 17.5