Lane Detection Using Heuristic Search Methods Based on Color Clustering

摘要：

Concerning the problem of lane detection in the Lane Departure Warning (LDW) system, this paper uses Heuristic Search Methods to detect the lane boundary points based on the CIELab color features clustering. Color space providing us more precious information than gray scale, and Heuristic Search Methods narrowing the search region, this algorithm is robust and adaptive to the actual road conditions. According to the geometry structure of super highway, quadratic curve is adopted to match the lane. At last, use Simulink, the Signal Processing Blockset, and the Video and Image Processing Blockset developing lane detection and tracking model.

作者: Chao Ma Ling Mao Yuefei Zhang Mei Xie

作者单位: School of Electronic Engineering/UESTC/Chengdu, Sichuan, China

会议类型: 国际会议

会议名称: 2010 International Conference on Communications,Circuits and Systems(2010年通信、电路与系统国际会议)

会议地点: 成都

会议语种:英文

页码: 368-372

在线出版日期: 2010-06-28（万方平台首次上网日期，不代表论文的发表时间）