Efficient Lane Detection for Preceding Vehicle Extraction by Limiting Search Area of Sequential Images 


Vol. 8,  No. 6, pp. 705-716, Dec.  2001
10.3745/KIPSTB.2001.8.6.705


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  Abstract

In this paper, we propose a rapid lane detection method to extract a preceding vehicle from sequential images captured by a single monocular CCD camera. We detect positions of lanes for an individual image within the limited area that would not be hidden and thereby compute the slopes of the detected lanes. Then we find a search area where vehicles would exist and extract the position of the preceding vehicle within the area with edge component by applying a structured method. To verify the effects of the proposed method, we capture the road images with a notebook PC and a CCD camera for PC and present the results such as processing time for lane detection, accuracy and vehicles detection against the images.

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[IEEE Style]

S. H. Han and H. J. Cho, "Efficient Lane Detection for Preceding Vehicle Extraction by Limiting Search Area of Sequential Images," The KIPS Transactions:PartB , vol. 8, no. 6, pp. 705-716, 2001. DOI: 10.3745/KIPSTB.2001.8.6.705.

[ACM Style]

Sang Hoon Han and Hyung Je Cho. 2001. Efficient Lane Detection for Preceding Vehicle Extraction by Limiting Search Area of Sequential Images. The KIPS Transactions:PartB , 8, 6, (2001), 705-716. DOI: 10.3745/KIPSTB.2001.8.6.705.

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