Kha Tu Huynh1, Thi Phuong Linh Le1, Muhammad Arif2, Thien Khai Tran3,*
Intelligent Automation & Soft Computing, Vol.37, No.1, pp. 401-418, 2023, DOI:10.32604/iasc.2023.036981
Abstract To pursue the ideal of a safe high-tech society in a time when
traffic accidents are frequent, the traffic signs detection system has become
one of the necessary topics in recent years and in the future. The ultimate
goal of this research is to identify and classify the types of traffic signs in a
panoramic image. To accomplish this goal, the paper proposes a new model
for traffic sign detection based on the Convolutional Neural Network for comprehensive traffic sign classification and Mask Region-based Convolutional
Neural Networks (R-CNN) implementation for identifying and extracting
signs in panoramic images. Data augmentation and… More >
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