Design of a new intelligent driver assistance system based on traffic sign detection with Persian context is concerned in this paper. The primary aim of this system is to increase the precision of drivers in choosing their path with regard to traffic signs. To achieve this goal, a new framework that implements fuzzy logic was used to detect traffic signs in videos captured along a highway f...

This paper describes a new approach for tracking circular traffic signs from image sequences. As a part of traffic sign recognition system, the traffic sign tracking will improve the performance of the recognition. By tracking the signs, search space is reduced and misdetection caused by temporal occlusion could be avoided. We propose a new blob tracking called two-layer blob tracking to track ...

Article history: Received 1 August 2007 Received in revised form 22 May 2009 Accepted 26 May 2009

We present a new modular traffic signs recognition system, successfully applied to both American and European speed limit signs. Our sign detection step is based only on shape-detection (rectangles or circles). This enables it to work on grayscale images, contrary to most European competitors, which eases robustness to illumination conditions (notably night operation). Speed sign candidates are...

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, 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...