Lane Departure Warning Algorithm Through Single Lane Extraction and Center Point Analysis


KIPS Transactions on Software and Data Engineering, Vol. 16, No. 1, pp. 35-46, Jan. 2009
10.3745/KIPSTB.2009.16.1.35, Full Text:

Abstract

Lane extraction and lane departure warning algorithms using the image sensor attached in the vehicle are addressed. With the research about intelligent automobile, there have been many algorithms about lane recognition and lane departure warning system. However, since these algorithms require to detect 2 lanes, the high time complexity and the low recognition rate under various driving circumstances are critical problems. In this paper, we present a lane departure warning algorithm using single lane extraction and center point analysis that achieves the fast processing time and high detection rate. From the geometry between camera and objects, the region of interest (ROI) is determined and splitted into two parts. Hough transform detects the part of the lane. After the detected lane is restored to have a pre-determined size, lane departure is estimated by calculating the distance from the center point. On real driving environments, the presented algorithm is compared with previous algorithms. Experiment results support that the presented algorithm is fast and accurate.


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Cite this article
[IEEE Style]
J. H. Bae, S. W. Kim, H. Y. Lee, H. A. Lee and B. M. Kim, "Lane Departure Warning Algorithm Through Single Lane Extraction and Center Point Analysis," KIPS Journal B (2001 ~ 2012) , vol. 16, no. 1, pp. 35-46, 2009. DOI: 10.3745/KIPSTB.2009.16.1.35.

[ACM Style]
Jung Ho Bae, Soo Woong Kim, Hae Yeoun Lee, Hyun Ah Lee, and Byeong Man Kim. 2009. Lane Departure Warning Algorithm Through Single Lane Extraction and Center Point Analysis. KIPS Journal B (2001 ~ 2012) , 16, 1, (2009), 35-46. DOI: 10.3745/KIPSTB.2009.16.1.35.