Traffic Light Detection and Recognition for Self Driving Cars using Deep Learning Survey
A. S. International Journal of Trend in Scientific Research and Development, 4 (2):
624-627(January 2020)
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 . 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, URL: https://www.ijtsrd.com/papers/ijtsrd30030.pdf
Paper Url : https://www.ijtsrd.com/engineering/computer-engineering/30030/traffic-light-detection-and-recognition-for-self-driving-cars-using-deep-learning-survey/aswathy-madhu
%0 Journal Article
%1 noauthororeditor
%A S, Aswathy Madhu | Sruthy
%D 2020
%J International Journal of Trend in Scientific Research and Development
%K (DAS) (GPU) (TL) Assistance Computer Driver Engineering Graphical Lights Processing Systems Traffic Units
%N 2
%P 624-627
%T Traffic Light Detection and Recognition for Self Driving Cars using Deep Learning Survey
%U https://www.ijtsrd.com/engineering/computer-engineering/30030/traffic-light-detection-and-recognition-for-self-driving-cars-using-deep-learning-survey/aswathy-madhu
%V 4
%X 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 . 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, URL: https://www.ijtsrd.com/papers/ijtsrd30030.pdf
Paper Url : https://www.ijtsrd.com/engineering/computer-engineering/30030/traffic-light-detection-and-recognition-for-self-driving-cars-using-deep-learning-survey/aswathy-madhu
@article{noauthororeditor,
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 . 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, URL: https://www.ijtsrd.com/papers/ijtsrd30030.pdf
Paper Url : https://www.ijtsrd.com/engineering/computer-engineering/30030/traffic-light-detection-and-recognition-for-self-driving-cars-using-deep-learning-survey/aswathy-madhu
},
added-at = {2020-05-14T07:37:13.000+0200},
author = {S, Aswathy Madhu | Sruthy},
biburl = {https://www.bibsonomy.org/bibtex/2b79df08ce58cdfdc1f55e78cd3a3d1de/ijtsrd},
interhash = {8005b842d079473dd399d67cb26ad1bd},
intrahash = {b79df08ce58cdfdc1f55e78cd3a3d1de},
issn = {2456-6470},
journal = {International Journal of Trend in Scientific Research and Development},
keywords = {(DAS) (GPU) (TL) Assistance Computer Driver Engineering Graphical Lights Processing Systems Traffic Units},
language = {English},
month = jan,
number = 2,
pages = {624-627},
timestamp = {2020-05-14T07:37:13.000+0200},
title = {Traffic Light Detection and Recognition for Self Driving Cars using Deep Learning Survey
},
url = {https://www.ijtsrd.com/engineering/computer-engineering/30030/traffic-light-detection-and-recognition-for-self-driving-cars-using-deep-learning-survey/aswathy-madhu},
volume = 4,
year = 2020
}