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 …

Traffic sign detection is a central part of autonomous vehicle technology. Recent advances
in deep learning algorithms have motivated researchers to use neural networks to perform …

The traffic sign detection and recognition is an integral part of Advanced Driver Assistance
System (ADAS). Traffic signs provide information about the traffic rules, road conditions and …

The paper puts forward a real time traffic sign sensing (detection and recognition) frame
work for enhancing the vehicles capability in order to have a save driving, path planning …

Detection and recognition of road traffic signs constitute an important element in Advanced
Driver Assistance Systems (ADAS), which can provide real-time road sign perception …

Traffic sign detection plays an important role in improving the capabilities of automated
driving systems by addressing road safety challenges in sustainable urban living. In this …

Abstract Automated Vehicular System has become a necessity in the current technological
revolution. Real Traffic sign detection and recognition is a vital part of that system that will …

Initially, the traffic-sign recognition was done using the conventional image processing
techniques which are sluggish and can cause fatal delays in real-world implementations …

Hundreds of people are injured or killed in road accidents. These accidents are caused by
several intrinsic and extrinsic factors, including the attentiveness of the driver towards the …

We introduce a new computer vision based system for robust traffic sign recognition and
tracking. Such a system presents a vital support for driver assistance in an intelligent …