Vision-Based Traffic Sign Detection and Recognition Systems: Current Trends and Challenges.

Safat B Wali,Salina A Samad,Muhamad Bin Mansor,Mahammad A Hannan,Pin J Ker,Majid A Abdullah,Aini Hussain

doi:10.3390/s19092093

Abstract

The automatic traffic sign detection and recognition (TSDR) system is very important research in the development of advanced driver assistance systems (ADAS). Investigations on vision-based TSDR have received substantial interest in the research community, which is mainly motivated by three factors, which are detection, tracking and classification. During the last decade, a substantial number of techniques have been reported for TSDR. This paper provides a comprehensive survey on traffic sign detection, tracking and classification. The details of algorithms, methods and their specifications on detection, tracking and classification are investigated and summarized in the tables along with the corresponding key references. A comparative study on each section has been provided to evaluate the TSDR data, performance metrics and their availability. Current issues and challenges of the existing technologies are illustrated with brief suggestions and a discussion on the progress of driver assistance system research in the future. This review will hopefully lead to increasing efforts towards the development of future vision-based TSDR system.

Highlights

In all countries of the world, the important information about the road limitation and condition is presented to drivers as visual signals, such as traffic signs and traffic lanes
This paper provides a comprehensive survey on traffic sign detection, tracking and classification
This paper provides aofcomprehensive survey on traffic sign detection, tracking and classification

Summary

Introduction

In all countries of the world, the important information about the road limitation and condition is presented to drivers as visual signals, such as traffic signs and traffic lanes. Traffic signs are an important part of road infrastructure to provide information about the current state of the road, restrictions, prohibitions, warnings, and other helpful information for navigation [1,2]. This information is encoded in the traffic signs visual traits: Shape, color and pictogram [1]. In adverse traffic conditions, the driver may accidentally or deliberately not notice traffic signs [3].

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