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Development Of A Road Line Detection Algorithm For Monitoring Driving Pattern

Ismail , Najwa (2016) Development Of A Road Line Detection Algorithm For Monitoring Driving Pattern. Project Report. UTeM, Melaka, Malaysia. (Submitted)

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Abstract

Lately, the road accidents contribute a very high accident rate which involve in death. The main cause because of human error such as distraction and careless behaviour while driving is the biggest factor of road accidents. Road line detection system is one of the systems of the Automated Car Driver Assisted system. The Road line detection is aimed to give warning to the drivers when the vehicle starts to veering off from the actual lane towards lane boundary without any intention of the driver to change from the initial lane path. This system is aimed to reduce the number of road accident that are frequently happened because of the driver behaviour, distraction and drowsiness. This Road line detection system can also be advantageous in many real world applications such as security control freeway, driving training, autonomous navigation and the visually impaired assistant. The Road line detection system is based on visual sensor using camera that is usually placed behind the windshield of the vehicle, laser sensor which is attached in front of the vehicle and infrared sensor which is attached either behind the windshield or beneath the vehicle. While driving, it is unknown whether the driver driving with normal behaviour or not. Hence, this project is aiming on the lane detecting and tracking by using vision sensor. This main purpose is to study the technique used to detect the road road line detection and tracking by using vision sensor (camera). In order to achieve the main objective, the other objectives must be achieved are to develop the best algorithm of the road road line detection and lane tracking and to read the driving pattern using the developed algorithm. Overall, this system is able to enhance lane boundary information to drivers.

Item Type: Final Year Project (Project Report)
Uncontrolled Keywords: Image processing -- Digital techniques, Pattern recognition systems, Computer vision
Subjects: T Technology > T Technology (General)
T Technology > TA Engineering (General). Civil engineering (General)
Divisions: Library > Final Year Project > FKEKK
Depositing User: Muhammad Afiz Ahmad
Date Deposited: 31 Mar 2017 01:36
Last Modified: 31 Mar 2017 01:36
URI: http://digitalcollection.utem.edu.my/id/eprint/18419

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