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TWO-PARTITION BASED LANE DETECTION USING HOUGH TRANSFORMATION
ISSN: 2582 - 9130
Publisher: author
TWO-PARTITION BASED LANE DETECTION USING HOUGH TRANSFORMATION
Indexed in
Technology and Engineering
ARTICLE-FACTOR
1.3
Article Basics Score: 3
Article Transparency Score: 3
Article Operation Score: 2
Article Articles Score: 2
Article Accessibility Score: 3
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International Category Code (ICC):
ICC-1802
Publisher: Krishma Publication
International Journal Address (IAA):
IAA.ZONE/2582383919130
eISSN
:
2582 - 9130
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Abstract
One of the most important component of the Autonomous Driver Assistance System is the lane detection and tracking. There are some factors like occlusion, object shadows, improper illumination, etc. cause complex problem of appearance variations in lane marking. There are several methods developed and are working fine when the noise is not present in image.. But the results are not efficient when model encounter any kind of noise like dust, shadows, puddles, oil stains, tire skid marks, etc. In this paper, we present tracking technique and lane detection which can handle several variations in environment like lane ending, lane splitting, lane curvature, improper lane, etc. The proposed method takes camera captured image and detects lane using partition. The lanes are split and detected, so they are merged to find the lane boundaries. Keywords: Lane detection, Hough transform, Computer vision, Driver Assistance System
