摘要
针对智能车辆视觉导航系统的路面标线实时感知问题,提出基于方向边缘匹配实现人行横道和停止线的检测算法。利用逆透视映射表快速建立车辆前方感兴趣区域俯视图,提取图像垂直边缘和水平边缘,通过亮度上升与下降相邻边缘匹配检测定位人行横道与停止线。实验结果表明,该检测算法满足实时性要求,具有强鲁棒性,能应用于复杂城市道路环境。
In order to solve the real-time road marking recognition problem in the intelligent vehicle vision navigation system, a novel pedestrian crossing and stop line detection algorithm based on oriented-edge match is proposed. It builds top-view image through Inverse Perspective Mapping（IPM） transformation by a mapping table to accelerate IPM process. It abstracts vertical oriented-edge and horizontal oriented-edge. The pedestrian crossing and stop line can be detected by matching adjacent up and down edges to bands. Experimental results illustrate that the algorithm is effective for real-time analysis and robust under difficult urban road circumstances.
出处
《计算机工程》
CAS
CSCD
2013年第6期261-265,282,共6页
Computer Engineering
基金
国家自然科学基金资助重大项目(90820302)
国家自然科学基金资助项目(60805027)
博士点基金资助项目(200805330005)
关键词
方向边缘
逆透视映射
感兴趣区域
线性拟合
匹配
随机抽样一致性
oriented-edge
Inverse Perspective Mapping（IPM）
Region of Interest（ROI）
linear fitting
match
random sample consensus
