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http://dx.doi.org/10.12673/jkoni.2012.16.6.1101

Robust Real-Time Lane Detection in Luminance Variation Using Morphological Processing  

Kim, Kwan-Young (Information & Telecommunication Engineering, Korea Aerospace University)
Kim, Mi-Rim (Information & Telecommunication Engineering, Korea Aerospace University)
Kim, In-Kyu (Information & Telecommunication Engineering, Korea Aerospace University)
Hwang, Seung-Jun (Information & Telecommunication Engineering, Korea Aerospace University)
Beak, Joong-Hwan (Information & Telecommunication Engineering, Korea Aerospace University)
Publication Information
Journal of Advanced Navigation Technology / v.16, no.6, 2012 , pp. 1101-1108 More about this Journal
Abstract
In this paper, we proposed an algorithm for real-time lane detecting against luminance variation using morphological image processing and edge-based region segmentation. In order to apply the most appropriate threshold value, the adaptive threshold was used in every frame, and perspective transform was applied to correct image distortion. After that, we designated ROI for detecting the only lane and established standard to limit region of ROI. We compared performance about the accuracy and speed when we used morphological method and do not used. Experimental result showed that the proposed algorithm improved the accuracy to 98.8% of detection rate and speed of 36.72ms per frame with the morphological method.
Keywords
Lane detection; Morphological processing; Perspective transform; Canny edge;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
연도 인용수 순위
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