In this paper, we propose a new pre-processing method for detecting road traffic sign based on visual saliency map model. Since the road traffic sign boards have dominent color contrast against environment, we consider the color opponents information with center surround difference normalization as an input feature extraction, which is effective to reduce noise influence as well as intensify th...

Road signs are crucial infrastructures for safe driving. For systematic management of road signs, construction of a road sign database and implementation of a road sign management system are essential for local governments. In this paper, we deal with automatic extraction of direction information from road sign imagery obtained by a mobile mapping system. Our approach starts with image pre-proc...

This paper presents a survey on the detection and recognition of traffic signs which has a number of important application areas that include advanced driver assistance systems, road surveying and autonomous vehicles. This has been thoroughly studied for a long time. But still it remains a challenging problem in computer vision due to the different types and the huge variability of informations...

A system for real-time traffic sign detection is described in this paper. The system uses restricted Hough transform for circumferences in order to detect circular signs, and for straight lines for triangular ones. Some results obtained from a set of real road images captured under both normal and adverse weather conditions are presented as well in order to illustrate the robustness of the dete...

This paper presents an overview of the road and traffic sign detection and recognition. It describes the characteristics of the road signs, the requirements and difficulties behind road signs detection and recognition, how to deal with outdoor images, and the different techniques used in the image segmentation based on the colour analysis, shape analysis. It shows also the techniques used for t...

A novel algorithm for the recognition of Japanese road sign symbols with red annular boundaries is proposed. After detecting a red annular object using HSV color coordinates, a biologically inspired opponent-color filter is applied to extract the symbol parts of road signs. By applying discriminant analysis to the filter output, the inside region circumscribed by red annular boundary can be ext...

Traffic sign detection is an important research direction in the process of intelligent transportation Internet era, and plays a crucial role ensuring traffic safety. The purpose this to propose traffic-sign-detection algorithm based on selective kernel attention (SK attention), explicit visual center (EVC), YOLOv5 model address problems small targets, incomplete detection, insufficient accurac...

The traffic sign recognition system is a support system that can be useful to give notification and warning to drivers. It may be effective for traffic conditions on the current road traffic system. A robust artificial intelligence based traffic sign recognition system can support the driver and significantly reduce driving risk and injury. It performs by recognizing and interpreting various tr...

In this paper we present a correlation-based matching method for traffic sign shape classification. Our purpose is to offer a robust and reliable framework which can be used in numerous applications like driver assistance systems. The shape classification is scale, translation and rotation invariant. The process involves obtaining essential features (e.g. edges, ridges, corners) from each area,...