Lane Detection and Recognition Algorithm Based on Sweep-line
Lane detection and recognition is one of the important components for vision based guidance system of intelligent vehicle. It is presents a lane detection and recognition algorithm based on sweep-line. The road markings are extracted fully from the image by using color information. First, by means of scanning to extract the lane-pixels, and then utilized spline function to assemble the scattered line segments. Experimental results show that the proposed algorithm can robust to various road environment, including straight, curve, and even in a complex condition present significant disturbance produced by shadows, vehicles around or other white markings on road, the algorithm can also work in a robust way.
intelligent vehicle intelligent traffic system lane detection spline function sweep-line scanning
BO Fang chao MAO Jian guo SHEN Huan WANG Zhi chao LI Fang pei ZHOU Hua peng
College of Energy & Power Engineering, Nanjing University of Aeronautics & Astronautics, Nanjing, Jiangsu, China, 210016
国际会议
第八届国际测试技术研讨会(8th International Symposium on Test and Measurement)
重庆
英文
1061-1064
2009-08-01（万方平台首次上网日期，不代表论文的发表时间）