Traffic sign recognition is an important and active research topic of intelligent transport system. With a constant increasing of the training database size, not only the recognition accuracy, but also the computation complexity should be considered in designing a feasible recognition approach. In this paper, an effective and efficient algorithm based on a relatively new artificial neural netwo...

An implementation and limited extension of a traffic sign recognition method based on the work by [1] is presented here. This implementation can be extended to target real-time detection. Yield sign, stop sign and red-bordered circular signs are considered. First, image is color segmented based on a thresholding technique. Then, corner features are detected using convolution masks (based on wor...

This study investigates on a quantitative basis two strategies that can be used to increase the legibility distance of retroreflective traffic signs with negative luminance contrast legend or symbols at night. The first strategy involves the increase of the letter, numeral, or symbol size associated with a corresponding increase in the stroke width (representing the visual detail) and with an i...

Smart Cities is a vision driven by the availability of governmental data that fosters many challenging applications. One of them is the management of inconsistent traffic regulations, i.e., the handling of inconsistent traffic signs and measures in urban areas such as wrong sign posting, or errors in data acquisition in traffic sign administration software. We investigate such inconsistent traf...

With the growing trend in autonomous vehicles, accurate recognition of traffic signs has become crucial. This research focuses on use convolutional neural networks for sign classification, specifically utilizing pre-trained models ResNet50, DenseNet121, and VGG16. To enhance accuracy robustness model, authors implement an ensemble learning technique with majority voting, to combine predictions ...

Traffic signs are effective only when users clearly understand their meaning. This paper reviews recent studies concerning traffic sign comprehension and finds that unsatisfactory comprehension is a common problem for drivers in many countries. The influence of user characteristics and sign cognitive features on understanding levels are summarized and discussed. While the positive relation betw...