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A real-time speed limit sign recognition system for autonomous vehicle using SSD / Nor Syahirah Saharudin

In today's technology-driven world, there are a lot of devices or product have been invented where one of it is an autonomous vehicle. As the vehicle is driverless, a lot of systems and sensors must be embedded to make sure it operates finely. Traffic Sign Recognition (TSR) is one of the system...

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Bibliographic Details
Main Author: Saharudin, Nor Syahirah
Format: Thesis
Language:English
Published: 2020
Subjects:
Electronic Computers. Computer Science
Real-time programming
Operating systems (Computers)
Online Access:http://ir.uitm.edu.my/id/eprint/35600/1/35600.pdf
http://ir.uitm.edu.my/id/eprint/35600/
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spelling my.uitm.ir.356002020-11-26T07:14:41Z http://ir.uitm.edu.my/id/eprint/35600/ A real-time speed limit sign recognition system for autonomous vehicle using SSD / Nor Syahirah Saharudin Saharudin, Nor Syahirah Electronic Computers. Computer Science Real-time programming Operating systems (Computers) In today's technology-driven world, there are a lot of devices or product have been invented where one of it is an autonomous vehicle. As the vehicle is driverless, a lot of systems and sensors must be embedded to make sure it operates finely. Traffic Sign Recognition (TSR) is one of the systems needed. As the number of vehicles on the road kept increasing over the years, road accident has been a major problem throughout the world indicating speeding as one of the main causes. This project aims to develop a system capable of performing a real-time speed limit sign recognition but only specific to five speed limits. Image processing technique is used to develop the system where a single layer network called Single Shot Multibox Detector (SSD) is used to detect and recognize the speed limit signboard and for the dataset, a German Traffic Sign Dataset (GTSD) is used. An accuracy testing using confusion matrix is conducted to find the accuracy of the system. The system achieves over 70% of the accuracy for detection and recognition of the signboard. For future works, an alert sound can be implemented when the speed limit is recognized but the speed of the car is faster than the speed detected on the signboard where the help of Global Positioning System (GPS) will be needed. 2020 Thesis NonPeerReviewed text en http://ir.uitm.edu.my/id/eprint/35600/1/35600.pdf Saharudin, Nor Syahirah (2020) A real-time speed limit sign recognition system for autonomous vehicle using SSD / Nor Syahirah Saharudin. Degree thesis, Universiti Teknologi MARA, Cawangan Melaka.
institution Universiti Teknologi Mara
building Tun Abdul Razak Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Mara
content_source UiTM Institutional Repository
url_provider http://ir.uitm.edu.my/
language English
topic Electronic Computers. Computer Science
Real-time programming
Operating systems (Computers)
spellingShingle Electronic Computers. Computer Science
Real-time programming
Operating systems (Computers)
Saharudin, Nor Syahirah
A real-time speed limit sign recognition system for autonomous vehicle using SSD / Nor Syahirah Saharudin
description In today's technology-driven world, there are a lot of devices or product have been invented where one of it is an autonomous vehicle. As the vehicle is driverless, a lot of systems and sensors must be embedded to make sure it operates finely. Traffic Sign Recognition (TSR) is one of the systems needed. As the number of vehicles on the road kept increasing over the years, road accident has been a major problem throughout the world indicating speeding as one of the main causes. This project aims to develop a system capable of performing a real-time speed limit sign recognition but only specific to five speed limits. Image processing technique is used to develop the system where a single layer network called Single Shot Multibox Detector (SSD) is used to detect and recognize the speed limit signboard and for the dataset, a German Traffic Sign Dataset (GTSD) is used. An accuracy testing using confusion matrix is conducted to find the accuracy of the system. The system achieves over 70% of the accuracy for detection and recognition of the signboard. For future works, an alert sound can be implemented when the speed limit is recognized but the speed of the car is faster than the speed detected on the signboard where the help of Global Positioning System (GPS) will be needed.
format Thesis
author Saharudin, Nor Syahirah
author_facet Saharudin, Nor Syahirah
author_sort Saharudin, Nor Syahirah
title A real-time speed limit sign recognition system for autonomous vehicle using SSD / Nor Syahirah Saharudin
title_short A real-time speed limit sign recognition system for autonomous vehicle using SSD / Nor Syahirah Saharudin
title_full A real-time speed limit sign recognition system for autonomous vehicle using SSD / Nor Syahirah Saharudin
title_fullStr A real-time speed limit sign recognition system for autonomous vehicle using SSD / Nor Syahirah Saharudin
title_full_unstemmed A real-time speed limit sign recognition system for autonomous vehicle using SSD / Nor Syahirah Saharudin
title_sort real-time speed limit sign recognition system for autonomous vehicle using ssd / nor syahirah saharudin
publishDate 2020
url http://ir.uitm.edu.my/id/eprint/35600/1/35600.pdf
http://ir.uitm.edu.my/id/eprint/35600/
_version_ 1685651313615962112
score 13.211869

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