Advances in lane marking detection algorithms for all-weather conditions

Driving vehicles in all-weather conditions is challenging as the lane markers tend to be unclear to the drivers for detecting the lanes. Moreover, the vehicles will move slower hence increasing the road traffic congestion which causes difficulties in detecting the lane markers especially for advance...

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Published in:International journal of electrical and computer engineering (Malacca, Malacca) Vol. 11; no. 4; p. 3365
Main Authors: Ab Ghani, Hadhrami, Besar, Rosli, Md Sani, Zamani, Kamaruddin, Mohd Nazeri, Syahali, Syabeela, Daud, Atiqullah Mohamed, Martin, Aerun
Format: Journal Article
Language:English
Published: Yogyakarta IAES Institute of Advanced Engineering and Science 01.08.2021
Subjects:
Advanced driver assistance systems
Algorithms
Fog
Haze
Intelligent transportation systems
Markers
Marking
Traffic congestion
Weather
ISSN:2088-8708, 2722-2578, 2088-8708
Online Access:Get full text
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Abstract Driving vehicles in all-weather conditions is challenging as the lane markers tend to be unclear to the drivers for detecting the lanes. Moreover, the vehicles will move slower hence increasing the road traffic congestion which causes difficulties in detecting the lane markers especially for advanced driving assistance systems (ADAS). Therefore, this paper conducts a thorough review on vision-based lane marking detection algorithms developed for all-weather conditions. The review methodology consists of two major areas, which are a review on the general system models employed in the lane marking detection algorithms and a review on the types of weather conditions considered for the algorithms. Throughout the review process, it is observed that the lane marking detection algorithms in literature have mostly considered weather conditions such as fog, rain, haze and snow. A new contour-angle method has also been proposed for lane marker detection. Most of the research work focus on lane detection, but the classification of the types of lane markers remains a significant research gap that is worth to be addressed for ADAS and intelligent transport systems.
AbstractList Driving vehicles in all-weather conditions is challenging as the lane markers tend to be unclear to the drivers for detecting the lanes. Moreover, the vehicles will move slower hence increasing the road traffic congestion which causes difficulties in detecting the lane markers especially for advanced driving assistance systems (ADAS). Therefore, this paper conducts a thorough review on vision-based lane marking detection algorithms developed for all-weather conditions. The review methodology consists of two major areas, which are a review on the general system models employed in the lane marking detection algorithms and a review on the types of weather conditions considered for the algorithms. Throughout the review process, it is observed that the lane marking detection algorithms in literature have mostly considered weather conditions such as fog, rain, haze and snow. A new contour-angle method has also been proposed for lane marker detection. Most of the research work focus on lane detection, but the classification of the types of lane markers remains a significant research gap that is worth to be addressed for ADAS and intelligent transport systems.
Author Besar, Rosli
Md Sani, Zamani
Syahali, Syabeela
Daud, Atiqullah Mohamed
Ab Ghani, Hadhrami
Kamaruddin, Mohd Nazeri
Martin, Aerun
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Snippet Driving vehicles in all-weather conditions is challenging as the lane markers tend to be unclear to the drivers for detecting the lanes. Moreover, the vehicles...
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StartPage 3365
SubjectTerms Advanced driver assistance systems
Algorithms
Fog
Haze
Intelligent transportation systems
Markers
Marking
Traffic congestion
Weather
Title Advances in lane marking detection algorithms for all-weather conditions
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