This paper presents an automatic road-sign detection and recognition system based on
support vector machines (SVMs). In automatic traffic-sign maintenance and in a visual driver …

SIFT has been proven to be the most robust local invariant feature descriptor. SIFT is
designed mainly for gray images. However, color provides valuable information in object …

Advanced Motion Control and Sensing for Intelligent Vehicles provides the latest information
in intelligent vehicle control, sensing, and intelligent transportation. It addresses the growing …

We propose a road sign detection and recognition method using two-stage classification
strategy. In the detection phase, geometric characters of road traffic signs, Hough …

The demand for reliable traffic sign recognition (TSR) increases with the development of
safety driven advanced driver assistance systems (ADAS). Emerging technologies like brake …

Computer vision techniques applied to systems used on road maintenance, which are
related either to traffic signs or to the road itself, are playing a major role in many countries …

3D reconstruction of traffic signs is of great interest in many applications such as image-
based localization and navigation. In order to reflect the reality, the reconstruction process …

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 …

Significant amount of research has already being carried out towards providing practical
solutions to automatic road sign detection. Due to the prominence played by colour, an …

The description of interest points is a critical aspect of point correspondence which is vital in
some computer vision and pattern recognition tasks. SIFT descriptor has been proven to …