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Open AccessReview

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

1
Centre for Integrated Systems Engineering and Advanced Technologies, Universiti Kebangsaan Malaysia, Bangi 43600, Malaysia
2
Institute of Power Engineering, Universiti Tenaga Nasional, Kajang 43000, Malaysia
*
Author to whom correspondence should be addressed.
Sensors 2019, 19(9), 2093; https://doi.org/10.3390/s19092093
Received: 2 April 2019 / Revised: 24 April 2019 / Accepted: 26 April 2019 / Published: 6 May 2019
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. View Full-Text
Keywords: Traffic sign detection and tracking (TSDR); advanced driver assistance system (ADAS); computer vision Traffic sign detection and tracking (TSDR); advanced driver assistance system (ADAS); computer vision
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MDPI and ACS Style

Wali, S.B.; Abdullah, M.A.; Hannan, M.A.; Hussain, A.; Samad, S.A.; Ker, P.J.; Mansor, M.B. Vision-Based Traffic Sign Detection and Recognition Systems: Current Trends and Challenges. Sensors 2019, 19, 2093. https://doi.org/10.3390/s19092093

AMA Style

Wali SB, Abdullah MA, Hannan MA, Hussain A, Samad SA, Ker PJ, Mansor MB. Vision-Based Traffic Sign Detection and Recognition Systems: Current Trends and Challenges. Sensors. 2019; 19(9):2093. https://doi.org/10.3390/s19092093

Chicago/Turabian Style

Wali, Safat B.; Abdullah, Majid A.; Hannan, Mahammad A.; Hussain, Aini; Samad, Salina A.; Ker, Pin J.; Mansor, Muhamad B. 2019. "Vision-Based Traffic Sign Detection and Recognition Systems: Current Trends and Challenges" Sensors 19, no. 9: 2093. https://doi.org/10.3390/s19092093

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