This paper reviews the popular traffic sign detection methods which are prevalent in the recent literature. The methods are divided into three categories: color-based, shapebased and learning-based. The color-based detection methods from eleven different works are studied and summarized in a table for easy reference. The three shape-based detection methods are presented, and a recent method whi...

Abstract This paper proposes a traffic sign detection algorithm using improved lightweight YOLOv4 in order to solve the problems of large parameters quantity, poor real-time performance, and low accuracy for unmanned driving system. Firstly, we use MobileNetV2 network replace original feature extraction improve speed by reducing number model parameters. Secondly, add an attention mechanism back...

We present a General Purpose Graphics Processing Unit (GPGPU) based real-time traffic sign detection and recognition method that is robust against illumination changes. There have been many approaches to traffic sign recognition in various research fields; however, previous approaches faced several limitations when under low illumination or wide variance of light conditions. To overcome these d...

Traffic sign inventories are important to governmental agencies as they facilitate evaluation of traffic sign locations and are beneficial for road and sign maintenance. These inventories can be created (semi-)automatically based on street-level panoramic images. In these images, object detection is employed to detect the signs in each image, followed by a classification stage to retrieve the s...

0957-4174/$ see front matter 2012 Elsevier Ltd. A http://dx.doi.org/10.1016/j.eswa.2012.12.072 ⇑ Corresponding author. Tel.: +82 2 3408 3838. E-mail addresses: [email protected] (J.(K.-J. Kim). Traffic sign detection is a useful application for driving assistance systems, and it is necessary to accurately detect traffic signs before they can be identified. Sometimes, however, it is diff...