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

Abdul Wahab, Nurul Aisyah (2020) Traffic lane navigation system using image processing / Nurul Aisyah Abdul Wahab. [Student Project] (Unpublished)

Abstract

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.

Metadata

Item Type: Student Project
Creators:
Creators
Email / ID Num.
Abdul Wahab, Nurul Aisyah
2016263754
Contributors:
Contribution
Name
Email / ID Num.
Thesis advisor
Boudville, Rozan
UNSPECIFIED
Subjects: T Technology > TK Electrical engineering. Electronics. Nuclear engineering > Electronics
T Technology > TK Electrical engineering. Electronics. Nuclear engineering > Electronics > Detectors. Sensors. Sensor networks
T Technology > TK Electrical engineering. Electronics. Nuclear engineering > Electronics > Information display systems
T Technology > TK Electrical engineering. Electronics. Nuclear engineering > Electronics > Computer engineering. Computer hardware
T Technology > TK Electrical engineering. Electronics. Nuclear engineering > Electronics > Computer engineering. Computer hardware > Malaysia
Divisions: Universiti Teknologi MARA, Pulau Pinang > Permatang Pauh Campus > Faculty of Electrical Engineering
Programme: Bachelor of Engineering (Hons) Electrical And Electronic Engineering
Keywords: Traffic Lane Navigation System, Hough Transform, MATLAB Software
Date: July 2020
URI: https://ir.uitm.edu.my/id/eprint/39902
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39902

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