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A Review on Real-time Traffic Light Detection Methods

Author

Listed:
  • Purohit Harshangi N
  • Parmar Shivangi J
  • Patel Shreya H
  • Borse Bhavika M
  • Patel Viral J

Abstract

This research paper is conducted to detect crosswalks and traffic lights with small false positive and negative errors. The current reliable traffic light recognition algorithms operate well under way, most of them are mainly designed for detection at a fixed position and effect on autonomous vehicles under real-world conditions is still limited. The paper is presented a camera-based algorithm for the problem. The image processing flow can be divided into three steps, including pre-processing, detection and recognition. In this paper, they proposed a novel vision-based traffic light detection method for driving vehicles, which is fast and robust under different illumination conditions.

Suggested Citation

  • Purohit Harshangi N & Parmar Shivangi J & Patel Shreya H & Borse Bhavika M & Patel Viral J, 2018. "A Review on Real-time Traffic Light Detection Methods," International Journal of Scientific Research in Science, Engineering and Technology, International Journal of Scientific Research in Science, Engineering and Technology, vol. 4(5), pages 466-470, April.
    • Handle: RePEc:ijs:ijsrse:v4:y2018:i5:id:hec003
    Note: Article URL: https://ijsrset.com/EC003
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