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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Main Author:	Saharudin, Nor Syahirah
Format:	Thesis
Language:	English
Published:	2020
Subjects:	Electronic Computers Computer Science Real-time programming Operating systems (Computers)
Online Access:	https://ir.uitm.edu.my/id/eprint/35600/1/35600.pdf
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id	my-uitm-ir.35600
record_format	uketd_dc
spelling	my-uitm-ir.356002020-11-26T07:14:41Z A real-time speed limit sign recognition system for autonomous vehicle using SSD / Nor Syahirah Saharudin 2020 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 https://ir.uitm.edu.my/id/eprint/35600/ https://ir.uitm.edu.my/id/eprint/35600/1/35600.pdf text en public degree Universiti Teknologi MARA, Cawangan Melaka Faculty of Computer and Mathematical Science Abu Mangshor, Nur Nabilah
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
advisor	Abu Mangshor, Nur Nabilah
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
qualification_level	Bachelor degree
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
granting_institution	Universiti Teknologi MARA, Cawangan Melaka
granting_department	Faculty of Computer and Mathematical Science
publishDate	2020
url	https://ir.uitm.edu.my/id/eprint/35600/1/35600.pdf
_version_	1783734306492907520

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

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