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Real Time Traffic Sign Recognition using Deep Learning

FYP 2 SEM 2 2019/2020

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Main Author: Sarmindaran Naidu a/l Siva Kumar
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Language:English
Published: 2023
Subjects:
real-time
recognition
deep learning
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spelling my.uniten.dspace-216822023-05-04T19:33:06Z Real Time Traffic Sign Recognition using Deep Learning Sarmindaran Naidu a/l Siva Kumar real-time recognition deep learning FYP 2 SEM 2 2019/2020 A traffic sign detection and recognition system (TSDR) is a necessity for the development of advanced driver assistance systems (ADAS). The traffic recognition system guides the driver to make correct decisions for safe driving. Such a system in Malaysia helps to reduce road accidents in the country that happens due to carelessness. Research community shows a significant interest in vision-based TSDR studies which are mainly motivated by three factors, which are detection, tracking and classification. The image recognition methods using deep learning are far superior to the methods used before the appearance of deep learning in general object recognition field. A real-time detection, tracking and classification framework to classify Malaysian traffic signs in real-time is proposed in this study. Hence, this paper explains how deep learning is applied to the Malaysian traffic sign recognition model using Yolov3 detection algorithm. This document presents an understanding, analysis on findings and research in the development of traffic sign recognition model. 2023-05-03T17:39:26Z 2023-05-03T17:39:26Z 2020-02 https://irepository.uniten.edu.my/handle/123456789/21682 en application/pdf
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
language English
topic real-time
recognition
deep learning
spellingShingle real-time
recognition
deep learning
Sarmindaran Naidu a/l Siva Kumar
Real Time Traffic Sign Recognition using Deep Learning
description FYP 2 SEM 2 2019/2020
format
author Sarmindaran Naidu a/l Siva Kumar
author_facet Sarmindaran Naidu a/l Siva Kumar
author_sort Sarmindaran Naidu a/l Siva Kumar
title Real Time Traffic Sign Recognition using Deep Learning
title_short Real Time Traffic Sign Recognition using Deep Learning
title_full Real Time Traffic Sign Recognition using Deep Learning
title_fullStr Real Time Traffic Sign Recognition using Deep Learning
title_full_unstemmed Real Time Traffic Sign Recognition using Deep Learning
title_sort real time traffic sign recognition using deep learning
publishDate 2023
_version_ 1806426041258868736
score 13.214268

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