IIUM Repository

A hyperbola-pair based lane detection system for vehicle guidance

Khalifa, Othman Omran and Khan, Imran Moez and Assidiq, Abdulhakam A. M. and Hassan Abdalla Hashim, Aisha and Khan, Sheroz (2010) A hyperbola-pair based lane detection system for vehicle guidance. In: World Congress on Engineering and Computer Science 2010 (WCECS2010), 20th-22nd Oct. 2010, San Francisco,USA.

[img] PDF
Restricted to Registered users only

Download (1MB) | Request a copy


—Developing on-board automotive driver assistance systems aiming to alert drivers about driving environments, and possible collision with other vehicles has attracted a lot of attention lately. The ability to perceive, or sense, the surrounding environment is essential to driving and thus to the development of autonomous self-guided vehicles However, the time requirements of an autonomous vehicle’s vision system are very demanding, and require careful selection of high speed algorithms for implementation. This paper presents a recent vision-based on-road lane detection system. Our focus is on systems where the camera is mounted on the vehicle rather than being fixed such as in traffic/driveway monitoring systems. Real time image sequences are used as inputs, which after being processed are used for lanes detection. The lanes are detected using Hough transform and fitted to a hyperbola model. The proposed lane detection algorithm can be applied on both painted and unpainted road as well as curved and straight road. Finally, a critical overview of the methods was discussed, the assessment of their potential for future deployment were highlighted. This approach was tested and the experimental results show that the proposed scheme was robust and fast enough for real time requirements. Eventually, a critical overview of the methods were discussed, their potential for future deployment were assist.

Item Type: Conference or Workshop Item (Plenary Papers)
Additional Information: 4119/9768
Uncontrolled Keywords: Lane detection, computer vision, intelligent vehicles, visual guides
Subjects: T Technology > TL Motor vehicles. Aeronautics. Astronautics > TL1 Motor vehicles
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button): Kulliyyah of Engineering > Department of Electrical and Computer Engineering
Depositing User: Prof. Dr Othman O. Khalifa
Date Deposited: 21 Feb 2012 00:59
Last Modified: 15 May 2017 12:22
URI: http://irep.iium.edu.my/id/eprint/9768

Actions (login required)

View Item View Item


Downloads per month over past year