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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Bibliographic Details
Main Authors: Mazani, Muhammad Naim (Author), Abdul-Rahman, Shuzlina (Author), Mutalib, Sofianita (Author)
Format: Article
Language:English
Published: Universiti Teknologi MARA Cawangan Pulau Pinang, 2020-06.
Subjects:
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LEADER 01562 am a22002173u 4500
001 33247
042 |a dc 
100 1 0 |a Mazani, Muhammad Naim  |e author 
700 1 0 |a Abdul-Rahman, Shuzlina  |e author 
700 1 0 |a Mutalib, Sofianita  |e author 
245 0 0 |a Pre-processing methods for vehicle lane detection / Muhammad Naim Mazani... [et al.] 
260 |b Universiti Teknologi MARA Cawangan Pulau Pinang,   |c 2020-06. 
856 |z Get fulltext  |u https://ir.uitm.edu.my/id/eprint/33247/1/33247.pdf 
856 |z View Fulltext in UiTM IR  |u https://ir.uitm.edu.my/id/eprint/33247/ 
520 |a 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 
546 |a en 
650 0 4 |a Analysis 
650 0 4 |a Mappings (Mathematics) 
650 0 4 |a Evolutionary programming (Computer science). Genetic algorithms 
650 0 4 |a Malaysia 
655 7 |a Article