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Proceedings Paper

Extraction of lane markings based on steerable filters
Author(s): Yanbing Liu; Jian Rong; Ke Chen
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Paper Abstract

Determination of lane position is an important component in the driver-assistance systems to provide meaningful and consistent road shape information for navigation purpose. Extraction of lane markings is a key component to detection of lane position. In this paper, we propose a new algorithm for extraction of lane markings based on steerable filters, which have been used to analyze local orientation patterns in imagery. Steerable filters are efficient for extraction of lane markings because by computing only three separable convolutions, we can extract a wide variety of lane markings. The steerable filters used for detection of lane are based on second derivatives of two-dimensional Gaussians. Such filters based on even-order derivatives are symmetric. While symmetry produces orientation responses that are periodic with period , independent of image structure, we present a more general asymmetric steerable function that alleviates this problem. The algorithm is able to provide robust and accurate extraction of lane markings under varying lighting and road conditions.

Paper Details

Date Published: 12 January 2009
PDF: 6 pages
Proc. SPIE 7133, Fifth International Symposium on Instrumentation Science and Technology, 71332A (12 January 2009); doi: 10.1117/12.821235
Show Author Affiliations
Yanbing Liu, Univ. of Electronic Science and Technology of China (China)
Jian Rong, Univ. of Electronic Science and Technology of China (China)
Ke Chen, Univ. of Electronic Science and Technology of China (China)


Published in SPIE Proceedings Vol. 7133:
Fifth International Symposium on Instrumentation Science and Technology
Jiubin Tan; Xianfang Wen, Editor(s)

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