Traffic Light Detection and Recognition for Self Driving Cars using Deep Learning: Survey

Sruthy S; Aswathy Madhu

Title:
Traffic Light Detection and Recognition for Self Driving Cars using Deep Learning: Survey

Authors:
Aswathy Madhu | Sruthy S

Cite This Article :

Aswathy Madhu | Sruthy S "Traffic Light Detection and Recognition for Self Driving Cars using Deep Learning: Survey" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-2, February 2020, pp.624-627, URL: https://www.ijtsrd.com/papers/ijtsrd30030.pdf

Download

Abstract :
Self-driving cars has the potential to revolutionize urban mobility by providing sustainable, safe, and convenient and congestion free transportability. Autonomous driving vehicles have become a trend in the vehicle industry. Many driver assistance systems (DAS) have been presented to support these automatic cars. This vehicle autonomy as an application of AI has several challenges like infallibly recognizing traffic lights, signs, unclear lane markings, pedestrians, etc. These problems can be overcome by using the technological development in the fields of Deep Learning, Computer Vision due to availability of Graphical Processing Units (GPU) and cloud platform. By using deep learning, a deep neural network based model is proposed for reliable detection and recognition of traffic lights (TL).

Keywords :
Driver Assistance Systems (DAS), Graphical Processing Units (GPU), Traffic Lights (TL)

Publication Details:

Unique Identification Number : IJTSRD30030

Published In : Volume-4 | Issue-2, February 2020

Page Number(s) : 624-627

Publisher Name : IJTSRD | www.ijtsrd.com | E-ISSN 2456-6470

Copyright © 2019 by author(s) and International Journal of Trend in Scientific Research and Development Journal. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0) (http://creativecommons.org/licenses/by/4.0)

About IJTSRD
Indexing

International Journal of Trend in Scientific Research and Development - IJTSRD having online ISSN 2456-6470. IJTSRD is a leading Open Access, Peer-Reviewed International Journal which provides rapid publication of your research articles and aims to promote the theory and practice along with knowledge sharing between researchers, developers, engineers, students, and practitioners working in and around the world in many areas like Sciences, Technology, Innovation, Engineering, Agriculture, Management and many more and it is recommended by all Universities, review articles and short communications in all subjects. IJTSRD running an International Journal who are proving quality publication of peer reviewed and refereed international journals from diverse fields that emphasizes new research, development and their applications. IJTSRD provides an online access to exchange your research work, technical notes & surveying results among professionals throughout the world in e-journals. IJTSRD is a fastest growing and dynamic professional organization. The aim of this organization is to provide access not only to world class research resources, but through its professionals aim to bring in a significant transformation in the real of open access journals and online publishing.