Vision based road lane detection system for vehicles guidance
Driver support system is one of the most important feature of the modern vehicles to ensure driver safety and decrease vehicle accident on roads. Apparently, the road lane detection or road boundaries detection is the complex and most challenging tasks. It is includes the localization of the road an...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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INSInet Publications
2011
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/510/1/728-738.pdf |
| _version_ | 1825644065643823104 |
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| author | Khalifa, Othman Omran Islam, Md. Rafiqul Assidi, Abdulhakam.AM. Hassan Abdalla Hashim, Aisha Khan, Sheroz |
| author_facet | Khalifa, Othman Omran Islam, Md. Rafiqul Assidi, Abdulhakam.AM. Hassan Abdalla Hashim, Aisha Khan, Sheroz |
| author_sort | Khalifa, Othman Omran |
| collection | IIUM |
| description | Driver support system is one of the most important feature of the modern vehicles to ensure driver safety and decrease vehicle accident on roads. Apparently, the road lane detection or road boundaries detection is the complex and most challenging tasks. It is includes the localization of the road and the determination of the relative position between vehicle and road. A vision system using on-board camera looking outwards from the windshield is presented in this paper. The system acquires the front view using a camera mounted on the vehicle and detects the lanes by applying few processes. The lanes are extracted using Hough transform through a pair of hyperbolas which are fitted to the edges of the lanes. The proposed lane detection system can be applied on both painted and unpainted roads as well as curved and straight road in different weather conditions. The proposed system does not require any extra information such as lane width, time to lane crossing and offset between the center of the lanes. In addition, camera calibration and coordinate transformation are also
not required. The system was investigated under various situations of changing illumination, and shadows effects in various road types without speed limits. The system has demonstrated a robust performance for detecting the road lanes under different conditions. |
| first_indexed | 2024-03-05T22:27:48Z |
| format | Article |
| id | oai:generic.eprints.org:510 |
| institution | International Islamic University Malaysia |
| language | English |
| last_indexed | 2024-03-05T22:27:48Z |
| publishDate | 2011 |
| publisher | INSInet Publications |
| record_format | dspace |
| spelling | oai:generic.eprints.org:5102020-10-22T00:33:35Z http://irep.iium.edu.my/510/ Vision based road lane detection system for vehicles guidance Khalifa, Othman Omran Islam, Md. Rafiqul Assidi, Abdulhakam.AM. Hassan Abdalla Hashim, Aisha Khan, Sheroz TE Highway engineering. Roads and pavements TK7885 Computer engineering Driver support system is one of the most important feature of the modern vehicles to ensure driver safety and decrease vehicle accident on roads. Apparently, the road lane detection or road boundaries detection is the complex and most challenging tasks. It is includes the localization of the road and the determination of the relative position between vehicle and road. A vision system using on-board camera looking outwards from the windshield is presented in this paper. The system acquires the front view using a camera mounted on the vehicle and detects the lanes by applying few processes. The lanes are extracted using Hough transform through a pair of hyperbolas which are fitted to the edges of the lanes. The proposed lane detection system can be applied on both painted and unpainted roads as well as curved and straight road in different weather conditions. The proposed system does not require any extra information such as lane width, time to lane crossing and offset between the center of the lanes. In addition, camera calibration and coordinate transformation are also not required. The system was investigated under various situations of changing illumination, and shadows effects in various road types without speed limits. The system has demonstrated a robust performance for detecting the road lanes under different conditions. INSInet Publications 2011-05 Article PeerReviewed application/pdf en http://irep.iium.edu.my/510/1/728-738.pdf Khalifa, Othman Omran and Islam, Md. Rafiqul and Assidi, Abdulhakam.AM. and Hassan Abdalla Hashim, Aisha and Khan, Sheroz (2011) Vision based road lane detection system for vehicles guidance. Australian Journal of Basic and Applied Sciences, 5 (5). pp. 728-738. ISSN 1991-8178 http://insipub.net/ajbas/2011/728-738.pdf |
| spellingShingle | TE Highway engineering. Roads and pavements TK7885 Computer engineering Khalifa, Othman Omran Islam, Md. Rafiqul Assidi, Abdulhakam.AM. Hassan Abdalla Hashim, Aisha Khan, Sheroz Vision based road lane detection system for vehicles guidance |
| title | Vision based road lane detection system for vehicles guidance |
| title_full | Vision based road lane detection system for vehicles guidance |
| title_fullStr | Vision based road lane detection system for vehicles guidance |
| title_full_unstemmed | Vision based road lane detection system for vehicles guidance |
| title_short | Vision based road lane detection system for vehicles guidance |
| title_sort | vision based road lane detection system for vehicles guidance |
| topic | TE Highway engineering. Roads and pavements TK7885 Computer engineering |
| url | http://irep.iium.edu.my/510/1/728-738.pdf |
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