Traffic lane navigation system using image processing / Nurul Aisyah Abdul Wahab

Traffic lane navigation system has received a lot of attention in recent years. It can help the user in assisting the route planning and it played a great role in driving system. The main problem arises when there were many accidents occur due to the careless of the driver on the driving that have b...

Full description

Saved in:
Bibliographic Details
Main Author: Abdul Wahab, Nurul Aisyah
Format: Student Project
Language:English
Published: 2020
Subjects:
Online Access:http://ir.uitm.edu.my/id/eprint/39902/1/39902.pdf
http://ir.uitm.edu.my/id/eprint/39902/
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.uitm.ir.39902
record_format eprints
spelling my.uitm.ir.399022021-01-06T09:19:21Z http://ir.uitm.edu.my/id/eprint/39902/ Traffic lane navigation system using image processing / Nurul Aisyah Abdul Wahab Abdul Wahab, Nurul Aisyah Electronics Detectors. Sensors. Sensor networks Information display systems Computer engineering. Computer hardware Malaysia Traffic lane navigation system has received a lot of attention in recent years. It can help the user in assisting the route planning and it played a great role in driving system. The main problem arises when there were many accidents occur due to the careless of the driver on the driving that have be among the main reason when the accident occurs. Failure to keep in the proper lane or running of road become the famous factor for the drivers involved in fatal crashes. This project introduced the traffic lane navigation system using image processing. This system helps the driver to drive safely within the road lane. The image processing technique used to detect and navigate traffic lane was Hough Transform. This project was using the recorded road lane video that have capture the view of the driving mode on road and detect the traffic lane via image processing and computer vision techniques. It was a process that combines color and edge information to detect the lane marking. The technique involved the process of interest region selection, noise filtering, edge detection and hough transform. All the process in this project was using MATLAB software. This project was able to assist the driver to drive safely. 2020-07 Student Project NonPeerReviewed text en http://ir.uitm.edu.my/id/eprint/39902/1/39902.pdf Abdul Wahab, Nurul Aisyah (2020) Traffic lane navigation system using image processing / Nurul Aisyah Abdul Wahab. [Student Project] (Unpublished)
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 Electronics
Detectors. Sensors. Sensor networks
Information display systems
Computer engineering. Computer hardware
Malaysia
spellingShingle Electronics
Detectors. Sensors. Sensor networks
Information display systems
Computer engineering. Computer hardware
Malaysia
Abdul Wahab, Nurul Aisyah
Traffic lane navigation system using image processing / Nurul Aisyah Abdul Wahab
description Traffic lane navigation system has received a lot of attention in recent years. It can help the user in assisting the route planning and it played a great role in driving system. The main problem arises when there were many accidents occur due to the careless of the driver on the driving that have be among the main reason when the accident occurs. Failure to keep in the proper lane or running of road become the famous factor for the drivers involved in fatal crashes. This project introduced the traffic lane navigation system using image processing. This system helps the driver to drive safely within the road lane. The image processing technique used to detect and navigate traffic lane was Hough Transform. This project was using the recorded road lane video that have capture the view of the driving mode on road and detect the traffic lane via image processing and computer vision techniques. It was a process that combines color and edge information to detect the lane marking. The technique involved the process of interest region selection, noise filtering, edge detection and hough transform. All the process in this project was using MATLAB software. This project was able to assist the driver to drive safely.
format Student Project
author Abdul Wahab, Nurul Aisyah
author_facet Abdul Wahab, Nurul Aisyah
author_sort Abdul Wahab, Nurul Aisyah
title Traffic lane navigation system using image processing / Nurul Aisyah Abdul Wahab
title_short Traffic lane navigation system using image processing / Nurul Aisyah Abdul Wahab
title_full Traffic lane navigation system using image processing / Nurul Aisyah Abdul Wahab
title_fullStr Traffic lane navigation system using image processing / Nurul Aisyah Abdul Wahab
title_full_unstemmed Traffic lane navigation system using image processing / Nurul Aisyah Abdul Wahab
title_sort traffic lane navigation system using image processing / nurul aisyah abdul wahab
publishDate 2020
url http://ir.uitm.edu.my/id/eprint/39902/1/39902.pdf
http://ir.uitm.edu.my/id/eprint/39902/
_version_ 1688550903953489920
score 13.211869