Real time lane detection for autonomous vehicles
An increasing safety and reducing road accidents, thereby saving lives are one of great interest in the context of Advanced Driver Assistance Systems. Apparently, among the complex and challenging tasks of future road vehicles is road lane detection or road boundaries detection. It is base...
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2008
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| Online Access: | http://irep.iium.edu.my/5896/ http://irep.iium.edu.my/5896/ http://irep.iium.edu.my/5896/ http://irep.iium.edu.my/5896/1/04580573.pdf |
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iium-58962012-04-03T06:37:47Z http://irep.iium.edu.my/5896/ Real time lane detection for autonomous vehicles Assidiq, Abdulhakam. AM. Khalifa, Othman Omran Islam, Md. Rafiqul Khan, Sheroz T Technology (General) An increasing safety and reducing road accidents, thereby saving lives are one of great interest in the context of Advanced Driver Assistance Systems. Apparently, among the complex and challenging tasks of future road vehicles is road lane detection or road boundaries detection. It is based on lane detection (which includes the localization of the road, the determination of the relative position between vehicle and road, and the analysis of the vehicle’s heading direction). One of the principal approaches to detect road boundaries and lanes using vision system on the vehicle. However, lane detection is a difficult problem because of the varying road conditions that one can encounter while driving. In this paper, a vision-based lane detection approach capable of reaching real time operation with robustness to lighting change and shadows is presented. The system acquires the front view using a camera mounted on the vehicle then applying few processes in order to detect the lanes. Using a pair of hyperbolas which are fitting to the edges of the lane, those lanes are extracted using Hough transform. The proposed lane detection system can be applied on both painted and unpainted road as well as curved and straight road in different weather conditions. 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 2008 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/5896/1/04580573.pdf Assidiq, Abdulhakam. AM. and Khalifa, Othman Omran and Islam, Md. Rafiqul and Khan, Sheroz (2008) Real time lane detection for autonomous vehicles. In: International Conference on Computer and Communication Engineering 2008 May 13-15, 2008 Kuala Lumpur, Malaysia , May 13-15, 2008 , Kuala Lumpur, Malaysia. http://dx.doi.org/10.1109/ICCCE.2008.4580573 doi:10.1109/ICCCE.2008.4580573 |
| repository_type |
Digital Repository |
| institution_category |
Local University |
| institution |
International Islamic University Malaysia |
| building |
IIUM Repository |
| collection |
Online Access |
| language |
English |
| topic |
T Technology (General) |
| spellingShingle |
T Technology (General) Assidiq, Abdulhakam. AM. Khalifa, Othman Omran Islam, Md. Rafiqul Khan, Sheroz Real time lane detection for autonomous vehicles |
| description |
An increasing safety and reducing road
accidents, thereby saving lives are one of great interest
in the context of Advanced Driver Assistance Systems.
Apparently, among the complex and challenging tasks
of future road vehicles is road lane detection or road
boundaries detection. It is based on lane detection
(which includes the localization of the road, the
determination of the relative position between vehicle
and road, and the analysis of the vehicle’s heading
direction). One of the principal approaches to detect
road boundaries and lanes using vision system on the
vehicle. However, lane detection is a difficult problem
because of the varying road conditions that one can
encounter while driving. In this paper, a vision-based
lane detection approach capable of reaching real time
operation with robustness to lighting change and
shadows is presented. The system acquires the front
view using a camera mounted on the vehicle then
applying few processes in order to detect the lanes.
Using a pair of hyperbolas which are fitting to the
edges of the lane, those lanes are extracted using
Hough transform. The proposed lane detection system
can be applied on both painted and unpainted road as
well as curved and straight road in different weather
conditions. 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 |
| format |
Conference or Workshop Item |
| author |
Assidiq, Abdulhakam. AM. Khalifa, Othman Omran Islam, Md. Rafiqul Khan, Sheroz |
| author_facet |
Assidiq, Abdulhakam. AM. Khalifa, Othman Omran Islam, Md. Rafiqul Khan, Sheroz |
| author_sort |
Assidiq, Abdulhakam. AM. |
| title |
Real time lane detection for autonomous vehicles |
| title_short |
Real time lane detection for autonomous vehicles |
| title_full |
Real time lane detection for autonomous vehicles |
| title_fullStr |
Real time lane detection for autonomous vehicles |
| title_full_unstemmed |
Real time lane detection for autonomous vehicles |
| title_sort |
real time lane detection for autonomous vehicles |
| publishDate |
2008 |
| url |
http://irep.iium.edu.my/5896/ http://irep.iium.edu.my/5896/ http://irep.iium.edu.my/5896/ http://irep.iium.edu.my/5896/1/04580573.pdf |
| first_indexed |
2023-09-18T20:14:42Z |
| last_indexed |
2023-09-18T20:14:42Z |
| _version_ |
1777407709268672512 |