Manuscript Number : EC003

A Review on Real-time Traffic Light Detection Methods

Authors(5) :-Purohit Harshangi N., Parmar Shivangi J., Patel Shreya H., Borse Bhavika M., Patel Viral J.

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.

Authors and Affiliations

Purohit Harshangi N.
Students, Electronics &Communication, Sigma Institute of Engineering, Vadodara, Gujarat, India
Parmar Shivangi J.
Students, Electronics &Communication, Sigma Institute of Engineering, Vadodara, Gujarat, India
Patel Shreya H.
Students, Electronics &Communication, Sigma Institute of Engineering, Vadodara, Gujarat, India
Borse Bhavika M.
Students, Electronics &Communication, Sigma Institute of Engineering, Vadodara, Gujarat, India
Patel Viral J.
Assistant Professor, Electronics & Communication, Sigma institute of Engineering, Vadodara, Gujarat, India

Color Based, Edge Based, Density Based, Background Subtraction, Hough Transform.

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Publication Details

Published in : Volume 4 | Issue 5 | March-April 2018
Date of Publication : 2018-04-10
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 466-470
Manuscript Number : EC003
Publisher : Technoscience Academy

Print ISSN : 2395-1990, Online ISSN : 2394-4099

Cite This Article :

Purohit Harshangi N., Parmar Shivangi J., Patel Shreya H., Borse Bhavika M., Patel Viral J., " A Review on Real-time Traffic Light Detection Methods, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 4, Issue 5, pp.466-470, March-April-2018. Journal URL : https://res.ijsrset.com/EC003

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