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

Safat B Wali1, Majid A Abdullah2, Mahammad A Hannan3

  • 1Centre for Integrated Systems Engineering and Advanced Technologies, Universiti Kebangsaan Malaysia, Bangi 43600, Malaysia. safat.wali@siswa.ukm.edu.my.

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This survey reviews traffic sign detection and recognition (TSDR) systems for advanced driver assistance systems (ADAS). It details algorithms, methods, and performance metrics, highlighting current challenges and future directions for vision-based TSDR.

Keywords:
Traffic sign detection and tracking (TSDR)advanced driver assistance system (ADAS)computer vision

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Area of Science:

  • Computer Vision
  • Artificial Intelligence
  • Automotive Engineering

Background:

  • Advanced Driver Assistance Systems (ADAS) rely on robust Traffic Sign Detection and Recognition (TSDR).
  • Vision-based TSDR is a key research area driven by detection, tracking, and classification needs.
  • Numerous TSDR techniques have emerged over the last decade.

Purpose of the Study:

  • To provide a comprehensive survey of vision-based TSDR systems.
  • To investigate and summarize algorithms, methods, and specifications for TSDR.
  • To evaluate TSDR data, performance metrics, and availability through comparative studies.

Main Methods:

  • Systematic review of existing literature on TSDR techniques.
  • Detailed investigation and tabulation of algorithms for detection, tracking, and classification.
  • Comparative analysis of TSDR data and performance metrics.

Main Results:

  • Comprehensive summary of various TSDR algorithms and their specifications.
  • Comparative evaluation of TSDR performance metrics and data availability.
  • Identification of current issues and challenges in existing TSDR technologies.

Conclusions:

  • The review offers insights into the state-of-the-art in vision-based TSDR.
  • It highlights areas for improvement and future research directions.
  • This work aims to stimulate further development in advanced driver assistance systems.