Over the last few years, different traffic sign recognition systems were proposed. The present
paper introduces an overview of some recent and efficient methods in the traffic sign …

In the recent times, there has been a lot of speculation related to advanced driver‐
assistance system (ADAS) which provides best driving experience for the drivers. ADAS …

Traffic sign detection and recognition are crucial in the development of intelligent vehicles.
An improved traffic sign detection and recognition algorithm for intelligent vehicles is …

Annually, deep learning algorithms have proven their effectiveness in many vision-based
applications, such as autonomous driving, traffic, and congestion monitoring, and so on. In …

Recognizing and classifying traffic signs is a challenging task that can significantly improve
road safety. Deep neural networks have achieved impressive results in various applications …

Abstract Traffic Sign Recognition system is a very significant part of the Intelligent
Transportation System, as traffic signs assist the drivers to drive more carefully and …

Reconfigurability and parallel computing capability of field programmable gate array (FPGA)
devices are highly exploited in real-time digital image and video processing applications. In …

Real-time detection and recognition of road traffic signs plays an important role in advanced
driving assistance system. Typically, the region of interest (ROI) method is effective in feature …

In intelligent transportation systems, parsing traffic signs and transmitting traffic information
to humans is an urgent need. However, despite the success achieved in the detection and …

This study focuses on cursive text recognition appearing in videos, using a complete
framework of deep neural networks. While mature video optical character recognition …