Traffic Light Detection System for Different Weather Condition using Image Processing: A Review

Authors

  • Ayar Priyanka M Computer Engineering, HJD Institute of Technical Education & Research, Kera-Kutch, India
  • Laxmi Saraswat Computer Engineering, HJD Institute of Technical Education & Research, Kera-Kutch, India

Keywords:

Traffic light detection system, Weather Condition, Image processing, Autonomous vehicle

Abstract

Image Processing is increases image property by transforming the input image into the digital form by doing
some operations on it. Traffic Light Detection (TLD) via Image Processing provides accurate information to the
intelligence system of autonomous vehicle about the traffic light scenario. Thus, traffic light problem for an unmanned
vehicle can be solved. The challenge for autonomous vehicle is safety. Detection of traffic light is essential for
autonomous vehicle. A camera will be installed alongside with the vehicle. Light is detected from the captured image.
Traffic light detection for autonomous vehicle is important as a part of road safety. Many researchers proposed various
algorithms for TLD. In this paper, we present the review of traffic light detection methods for different weather
condition.

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Published

2016-05-25

How to Cite

Ayar Priyanka M, & Laxmi Saraswat. (2016). Traffic Light Detection System for Different Weather Condition using Image Processing: A Review. International Journal of Advance Research in Engineering, Science & Technology, 3(5), 588–592. Retrieved from https://ijarest.org/index.php/ijarest/article/view/673

Issue

Vol. 3 No. 5 (2016): Volume: 03, Issue: 05 - May, 2016.

Section

Articles