Pre-processing methods for vehicle lane detection / Muhammad Naim Mazani... [et al.]

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

Official URL: https://uppp.uitm.edu.my

Abstract

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

Metadata

Item Type: Article
Creators:
Creators
Email / ID Num.
Mazani, Muhammad Naim
UNSPECIFIED
Abdul-Rahman, Shuzlina
UNSPECIFIED
Mutalib, Sofianita
UNSPECIFIED
Subjects: Q Science > QA Mathematics > Analysis
Q Science > QA Mathematics > Analysis > Mappings (Mathematics)
Q Science > QA Mathematics > Evolutionary programming (Computer science). Genetic algorithms
Q Science > QA Mathematics > Evolutionary programming (Computer science). Genetic algorithms > Malaysia
Divisions: Universiti Teknologi MARA, Pulau Pinang > Permatang Pauh Campus
Journal or Publication Title: ESTEEM Academic Journal
UiTM Journal Collections: UiTM Journal > ESTEEM Academic Journal (EAJ)
ISSN: 2289-4934
Volume: 16
Page Range: pp. 74-85
Keywords: Image Pre-Processing, Lane Detection, Mapping, Region Of Interest
Date: June 2020
URI: https://ir.uitm.edu.my/id/eprint/33247
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