Traffic signs recognition (TSR) is an important part of some advanced driver-assistance
systems (ADASs) and auto driving systems (ADSs). As the first key step of TSR, traffic sign …

This paper presents a quantitative comparison of several segmentation methods (including
new ones) that have successfully been used in traffic sign recognition. The methods …

This paper deals with the detection and classification of traffic signs in outdoor
environments. The information provided by traffic signs on roads is very important for the …

The majority of existing traffic sign detection systems utilize color or shape information, but
the methods remain limited in regard to detecting and segmenting traffic signs from a …

The main goal of a traffic sign recognition system is the detection and recognition of every
traffic sign present in the scene. Frequently, the image processing system is divided into …

In this paper, a robust traffic sign recognition system is introduced for driver assistance
applications and/or autonomous cars. The system incorporates two major operations, traffic …

In this paper we have developed a new algorithm of artificial vision oriented to traffic sign
shape classification. The classification method basically consists of a series of comparison …

Traffic sign recognition (TSR), taken as an important component of an intelligent vehicle
system, has been an emerging research topic in recent years. In this paper, a traffic sign …

In this paper, a new algorithm for traffic sign recognition is presented. It is based on a shape
detection algorithm that classifies the shape of the content of a sign using the capabilities of …

This paper deals with the problem of estimating traffic sign position in successive frames for
automatic detection systems, whose main applications involve road sign maintenance and …