2010 3rd International Conference on Computer Science and Information Technology 2010
DOI: 10.1109/iccsit.2010.5565151
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Notice of Retraction: Improvement of lane marks extraction technique under different road conditions

Abstract: Ahstract-The application of edge detection to obtain salient lane boundaries on road image is popular in the computer vision area. However, edge detectors may be easily distracted by manifold noises that emerged on the road surface such as shadow cast, vehicles or other obstacles. Additionally, sky region can adversely affect the performance of lane detection method due to the presence of horizontal edges in the sky region. In this paper, lane preprocessing approach is proposed to effectively extract lane mark… Show more

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Cited by 2 publications
(6 citation statements)
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“…In this paper, we develop a simple but efficient horizon localization based on the notion of the horizon line proposed in [4]. The horizon line divides the scene into the sky region and the road region.…”
Section: Horizon Localizationmentioning
confidence: 99%
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“…In this paper, we develop a simple but efficient horizon localization based on the notion of the horizon line proposed in [4]. The horizon line divides the scene into the sky region and the road region.…”
Section: Horizon Localizationmentioning
confidence: 99%
“…As suggested as in [4], to enhance the effect of of searching the first minimum value along the vertical mean distribution curve, the curve is divided into n segments to obtain regional minimum (in this paper, n is chosen to be 10). A regional minimum S is represented as (m, p), where m is the average of gray values of the row where the regional minimum occurs, and p is the number of the row.…”
Section: Horizon Localizationmentioning
confidence: 99%
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