Vision-based lane detection for autonomous artificial intelligent vehicles

Intelligent vehicles are one of the enlightening ideas that will shape our future by providing enhanced safety and improved mobility. Apparently, among the complex and challenging tasks of future road vehicles is road lane detection or road boundaries detection. However, lane detection is a challeng...

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Main Authors:	Khalifa, Othman Omran, AM. Assidiq, Abdulhakam, Hassan Abdalla Hashim, Aisha
Format:	Conference or Workshop Item
Language:	English
Published:	2009
Subjects:	TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://irep.iium.edu.my/1540/ http://irep.iium.edu.my/1540/ http://irep.iium.edu.my/1540/1/Vision-Based_Lane_Detection_for_Autonomous_Artificial_Intelligent_Vehicles..pdf

id	iium-1540
recordtype	eprints
spelling	iium-15402017-06-16T01:48:14Z http://irep.iium.edu.my/1540/ Vision-based lane detection for autonomous artificial intelligent vehicles Khalifa, Othman Omran AM. Assidiq, Abdulhakam Hassan Abdalla Hashim, Aisha TK Electrical engineering. Electronics Nuclear engineering Intelligent vehicles are one of the enlightening ideas that will shape our future by providing enhanced safety and improved mobility. Apparently, among the complex and challenging tasks of future road vehicles is road lane detection or road boundaries detection. However, lane detection is a challenging task 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. A developed preprocessing phase including a grayscale conversion, noise removal, edge detection with automatic thresholding, lines extraction using Hough transform, lines or boundaries of the road fitted by hyperbolas are simulated. 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. 2009 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/1540/1/Vision-Based_Lane_Detection_for_Autonomous_Artificial_Intelligent_Vehicles..pdf Khalifa, Othman Omran and AM. Assidiq, Abdulhakam and Hassan Abdalla Hashim, Aisha (2009) Vision-based lane detection for autonomous artificial intelligent vehicles. In: IEEE International Conference on Semantic Computing 2009 (ICSC '09), 14-16 September 2009 , Berkeley, CA, USA . http://ieeexplore.ieee.org/search/searchresult.jsp?newsearch=true&queryText=Vision-based+lane+detection+for+autonomous+artificial+intelligent+vehicles&x=53&y=15
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English
topic	TK Electrical engineering. Electronics Nuclear engineering
spellingShingle	TK Electrical engineering. Electronics Nuclear engineering Khalifa, Othman Omran AM. Assidiq, Abdulhakam Hassan Abdalla Hashim, Aisha Vision-based lane detection for autonomous artificial intelligent vehicles
description	Intelligent vehicles are one of the enlightening ideas that will shape our future by providing enhanced safety and improved mobility. Apparently, among the complex and challenging tasks of future road vehicles is road lane detection or road boundaries detection. However, lane detection is a challenging task 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. A developed preprocessing phase including a grayscale conversion, noise removal, edge detection with automatic thresholding, lines extraction using Hough transform, lines or boundaries of the road fitted by hyperbolas are simulated. 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	Khalifa, Othman Omran AM. Assidiq, Abdulhakam Hassan Abdalla Hashim, Aisha
author_facet	Khalifa, Othman Omran AM. Assidiq, Abdulhakam Hassan Abdalla Hashim, Aisha
author_sort	Khalifa, Othman Omran
title	Vision-based lane detection for autonomous artificial intelligent vehicles
title_short	Vision-based lane detection for autonomous artificial intelligent vehicles
title_full	Vision-based lane detection for autonomous artificial intelligent vehicles
title_fullStr	Vision-based lane detection for autonomous artificial intelligent vehicles
title_full_unstemmed	Vision-based lane detection for autonomous artificial intelligent vehicles
title_sort	vision-based lane detection for autonomous artificial intelligent vehicles
publishDate	2009
url	http://irep.iium.edu.my/1540/ http://irep.iium.edu.my/1540/ http://irep.iium.edu.my/1540/1/Vision-Based_Lane_Detection_for_Autonomous_Artificial_Intelligent_Vehicles..pdf
first_indexed	2023-09-18T20:08:54Z
last_indexed	2023-09-18T20:08:54Z
_version_	1777407344999661568

Vision-based lane detection for autonomous artificial intelligent vehicles

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