Pre-processing methods for vehicle lane detection / Muhammad Naim Mazani... [et al.]
This study presents pre-processing methods for detecting lane detection using camera and Light Detection and Ranging (LiDAR) sensor technologies. Standard image processing methods are not suitable for complicated roads with various sign on the ground. Thus, determining the right techniques for pre-p...
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Universiti Teknologi Mara Cawangan Pulau Pinang
2020
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my.uitm.ir.332472020-08-06T03:06:37Z http://ir.uitm.edu.my/id/eprint/33247/ Pre-processing methods for vehicle lane detection / Muhammad Naim Mazani... [et al.] Mazani, Muhammad Naim Abdul-Rahman, Shuzlina Mutalib, Sofianita Analysis Mappings (Mathematics) Evolutionary programming (Computer science). Genetic algorithms Malaysia This study presents pre-processing methods for detecting lane detection using camera and Light Detection and Ranging (LiDAR) sensor technologies. Standard image processing methods are not suitable for complicated roads with various sign on the ground. Thus, determining the right techniques for pre-processing such data would be a challenge. The objectives of this study are to pre-process the scanned images and apply the image recognition algorithm for lane detection. The study employed Canny Edge Detection and Hough Transform algorithms on several sets of images. A different region of interest was experimented to find the optimal one. The experimental results showed that the proposed algorithms could be practical in terms of effectively detecting road lines and generate lane detection Universiti Teknologi Mara Cawangan Pulau Pinang 2020-06-30 Article PeerReviewed text en http://ir.uitm.edu.my/id/eprint/33247/1/33247.pdf Mazani, Muhammad Naim and Abdul-Rahman, Shuzlina and Mutalib, Sofianita (2020) Pre-processing methods for vehicle lane detection / Muhammad Naim Mazani... [et al.]. ESTEEM Academic Journal, 16. pp. 74-85. ISSN 2289-4934 |
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Analysis Mappings (Mathematics) Evolutionary programming (Computer science). Genetic algorithms Malaysia Mazani, Muhammad Naim Abdul-Rahman, Shuzlina Mutalib, Sofianita Pre-processing methods for vehicle lane detection / Muhammad Naim Mazani... [et al.] |
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This study presents pre-processing methods for detecting lane detection using camera and Light Detection and Ranging (LiDAR) sensor technologies. Standard image processing methods are not suitable for complicated roads with various sign on the ground. Thus, determining the right techniques for pre-processing such data would be a challenge. The objectives of this study are to pre-process the scanned images and apply the image recognition algorithm for lane detection. The study employed Canny Edge Detection and Hough Transform algorithms on several sets of images. A different region of interest was experimented to find the optimal one. The experimental results showed that the proposed algorithms could be practical in terms of effectively detecting road lines and generate lane detection |
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Article |
author |
Mazani, Muhammad Naim Abdul-Rahman, Shuzlina Mutalib, Sofianita |
author_facet |
Mazani, Muhammad Naim Abdul-Rahman, Shuzlina Mutalib, Sofianita |
author_sort |
Mazani, Muhammad Naim |
title |
Pre-processing methods for vehicle lane detection / Muhammad Naim Mazani... [et al.] |
title_short |
Pre-processing methods for vehicle lane detection / Muhammad Naim Mazani... [et al.] |
title_full |
Pre-processing methods for vehicle lane detection / Muhammad Naim Mazani... [et al.] |
title_fullStr |
Pre-processing methods for vehicle lane detection / Muhammad Naim Mazani... [et al.] |
title_full_unstemmed |
Pre-processing methods for vehicle lane detection / Muhammad Naim Mazani... [et al.] |
title_sort |
pre-processing methods for vehicle lane detection / muhammad naim mazani... [et al.] |
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Universiti Teknologi Mara Cawangan Pulau Pinang |
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2020 |
url |
http://ir.uitm.edu.my/id/eprint/33247/1/33247.pdf http://ir.uitm.edu.my/id/eprint/33247/ |
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