A Novel Lane Detection Algorithm Based on Support Vector Machine

摘要：

In this paper, a new lane detection algorithm based on support vector machine (SVM) is presented. This algorithm can overcome the flaws when applying traditional lane algorithms which are only applicable to some special situations. The main steps of this algorithm: road surface extraction by using SVM pattern recognition,image morphology operation, transforming the image into a bird-view image by using the relationship of image coordinate system (ICS) and world coordinate system (WCS), getting the center points from the road s midline,regressing the road shape function by using SVM. Relative to the traditional laser-based sensors and millimeterwave radar which are classified as active sensors,vision-based passive sensor has an advantage that it acquires data in a noninvasive mode and will not alter the environment.

作者: Hao Zhang Dibo Hou Zekui Zhou

作者单位: Zhejiang University,China

会议类型: 国际会议

会议名称: Progress in Electromagnetics Research Symposium 2005(2005年电磁学研究新进展学术研讨会)(PIERS 2005)

会议地点: 杭州

会议语种:英文

页码: 390-394

在线出版日期: 2005-08-22（万方平台首次上网日期，不代表论文的发表时间）