ARCHIVES

[1] Neural Network System of Traffic Signs Recognition. D M. Filatov, K. V. Ignatiev, E. V. Serykh. Saint Petersburg Electrotechnical
University “LETI” St. Petersburg, Russian Federation, IEEE 2017.
[2] TRAFFIC SIGN RECOGNITION WITHOUT COLOR INFORMATION. Hasan Fleyeh, Department of Computer Engineering, School
of Technology and Business Studies, Dalarna University, Sweden. (CVCS) 2015, IEEE 2015
[3] Road Sign Recognition using Salient Region Features: A Novel Learning-based Coarse-to-Fine Scheme Keren Fu,Irene Y.H. Gu.
IEEE 2015.
[4] Geodesic Distance Transform-based Salient Region Segmentation for Automatic Road Sign Recognition Keren FuA, Irene Y.H. GuA,
Anders Odblom ¨ B, Feng Liu, 2016 IEEE Intelligent Vehicles Symposium (IV) Gothenburg, Sweden, June 19-22, 2016
[5] Detection of U.S. Road Signs, Andreas Møgelmose, Dongran Liu, and Mohan Manubhai Trivedi. IEEE TRANSACTIONS ON
INTELLIGENT TRANSPORTATION SYSTEMS 2015.
[6] Analysis Road Safety for Highway Off-rampbased on Visual Reaction Time on Road Signs LYU Nengchao,WU Chaozhong. The 3rd
International Conference on Transportation Information and Safety, June 25 – June 28, 2015.
[7] The legibility of LED Road guide signs in urban tunnels. Yatian PU, Feng CHEN*, Xiaodong PAN, Jieyu LIANG, Haorong PENG,
Yanyi WU. 2017 4th International Conference on Transportation Information and Safety (ICTIS), August 8-10, 2017.
[8] Road Sign Detection and Classification using Colour Feature and Neural Network Md. Abdul Alim Sheikh,Alok Kole. 2016
International Conference on Intelligent Control Power and Instrumentation. IEEE 2016
[9] Feature Detection and Matching for Road Sign Images Li Lei-min1, Li Li2, Tong Ru-qiang 3, Li Pei-xi. 2018 International Conference
on Robots & Intelligent System,IEEE 2018
[10] A Road signs Detection Method of Contour Approximation based on Concave Removal Xu Zhel, Ren Jingyi1, Bao Chaoqian