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 biologically plausible model of traffic sign detection and recognition invariantly with respect to variable viewing conditions is presented. The model simulates several key mechanisms of biological vision, such as space-variant representation of information (reduction in resolution from the fovea to retinal periphery), orientation selectivity in the cortical neuron responses, and context enco...

The article depicts the role of Variable Message Signs in traffic management systems. VMSs play a big role in improving the traffic safety, as they are an important source of information for the driver, thanks to their clarity and legibility. The fulfilment of formal and legal requirements regarding the VMS is an important aspect of their implementation. The article describes the principles of ...

This paper proposes a new recognition algorithm of mandatory traffic sings using the Hausdorff distance. This algorithm has been designed to detect arrows on traffic signs, especially direction signs. The arrows on these mandatory signs appear in a multitude of different forms and positions. Due to this variety this algorithm uses a structural approach to recognize the arrows. First the sign is...

In this paper, an algorithm for traffic sign detection based on color and shape detection is developed. The algorithm uses images taken by a low resolution camera mounted in front of a moving car. Two types of traffic signs, yellow warning signs and red stop signs, are tested and detection results are summarized. The conclusion is that color-based detection is sensitive to illumination conditio...

Considering the problem of automatic traffic signs recognition in natural scene image (mainly including three kinds of traffic signs: yellow warning signs, red prohibition signs and blue mandatory signs), a new method for traffic signs recognition based on central projection transformation is proposed in this paper. In this method, self-adaptive image segmentation is firstly used to extract bin...