Eztraction of lane markings based on Steerable Filters
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.
lane detection features eztracting image processing oriented filters steerable filters
Yanbing Liu Jian Rong Ke Chen
School of Physical Electronic , UESTC, Chengdu, Sichuan ,610054,China
国际会议
第五届仪器科学与技术国际学术会议(ISIST 2008)Fifth International Symposium on Instrmentation Science and Technology
沈阳
英文
1-6
2008-09-15（万方平台首次上网日期，不代表论文的发表时间）