Vision-based traffic sign detection and recognition systems

Current trends and challenges

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

Research output: Contribution to journalReview article

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.

Original languageEnglish
Article number2093
JournalSensors (Switzerland)
Volume19
Issue number9
DOIs
Publication statusPublished - 01 May 2019

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Traffic signs
traffic
trends
Research
Advanced driver assistance systems
Technology
Availability
suggestion
Specifications
availability
specifications

All Science Journal Classification (ASJC) codes

  • Analytical Chemistry
  • Atomic and Molecular Physics, and Optics
  • Biochemistry
  • Instrumentation
  • Electrical and Electronic Engineering

Cite this

Wali, Safat B. ; Abdullah, Majid A. ; Hannan, Mahammad A. ; Hussain, Aini ; Samad, Salina A. ; Ker, Pin Jern ; Mansor, Muhamad. / Vision-based traffic sign detection and recognition systems : Current trends and challenges. In: Sensors (Switzerland). 2019 ; Vol. 19, No. 9.
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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.",
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Vision-based traffic sign detection and recognition systems : Current trends and challenges. / Wali, Safat B.; Abdullah, Majid A.; Hannan, Mahammad A.; Hussain, Aini; Samad, Salina A.; Ker, Pin Jern; Mansor, Muhamad.

In: Sensors (Switzerland), Vol. 19, No. 9, 2093, 01.05.2019.

Research output: Contribution to journalReview article

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T2 - Current trends and challenges

AU - Wali, Safat B.

AU - Abdullah, Majid A.

AU - Hannan, Mahammad A.

AU - Hussain, Aini

AU - Samad, Salina A.

AU - Ker, Pin Jern

AU - Mansor, Muhamad

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