Automated car driver assisted : road lane detection and tracking using vision sensor

Nor Sakinah , Abdul Shukor (2012) Automated car driver assisted : road lane detection and tracking using vision sensor. Faculty of Electrical & Electronics Engineering, Universiti Malaysia Pahang.

[img]
Preview
PDF
NOR_SAKINAH_BINTI_ABDUL_SHUKOR.PDF

Download (688kB)

Abstract

A Lane Departure Warning (LDW) system is one of the systems of the Automated Car Driver Assisted system. The lane departure warning system is designed to warn the driver when the vehicle starts to move out from the actual lane without any intention of the driver to change from the initial lane path. This system is designed to decrease the number of road accident those are frequently occurred because of the driver error, distraction and drowsiness. This LDW system can also be applied on many real world applications such as security control freeway, driving training, autonomous navigation and the visually impaired assistant. The LDW system is based on visual sensor that is usually mounted behind the windshield of the vehicle, laser sensor which is mounted on the front of the vehicle and infrared sensor which is mounted either behind the windshield or under the vehicle. While driving a vehicle, it is unknown whether the driver driving with normal behavior or not. Human error such as drowsiness and distraction while driving is the biggest factor of road accidents. A LDW system is a mechanism to warn the driver when the vehicle starting to depart of the lane on the road and help in decrease the number of accidents cause by the problems above.

Item Type: Undergraduates Project Papers
Additional Information: Project paper ( Bachelor of Electrical Engineering ( Electronics) ) -- Universiti Malaysia Pahang - 2012
Uncontrolled Keywords: Image processing Digital techniques Road lane detection
Subjects: T Technology > TJ Mechanical engineering and machinery
Faculty/Division: Faculty of Electrical & Electronic Engineering
Depositing User: nurudin nasir
Date Deposited: 15 Dec 2014 03:25
Last Modified: 17 Jun 2021 01:32
URI: http://umpir.ump.edu.my/id/eprint/7671
Download Statistic: View Download Statistics

Actions (login required)

View Item View Item