| 基于动态区域规划的双模型车道线识别方法 |
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| 引用本文： | 王宝锋,齐志权,马国成,陈思忠.基于动态区域规划的双模型车道线识别方法[J].北京理工大学学报,2014,34(5):485-489. |
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| 作者姓名： | 王宝锋 齐志权 马国成 陈思忠 |
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| 作者单位： | 北京理工大学机械与车辆学院,北京 100081;北京理工大学机械与车辆学院,北京 100081;北京理工大学机械与车辆学院,北京 100081;北京理工大学机械与车辆学院,北京 100081 |
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| 基金项目： | 国家自然科学基金资助项目（51005019） |
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| 摘 要： | 为提高车道偏离预警以及前方车辆识别系统性能，提出一种基于动态区域规划的双模型结构化道路车道线检测方法。通过基于模板的腐蚀、膨胀处理改善了图像预处理效果。根据“微元”理论进行图像动态细化分区，对各区域局部独立识别，整体综合分析，最终利用直线和B-样条曲线双模型完成车道线拟合。 实车试验证明，直线/B-样条曲线双模型拟合，提高了算法对不同车道线的适应性。
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| 关 键 词： | 车道线检测 动态区域规划 双模型 偏离预警 |
| 收稿时间： | 2013/3/29 0:00:00 |
Lane Detection System Based on Region Dynamically Planning and Dual Model Fitting |
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| WANG Bao-feng,QI Zhi-quan,MA Guo-cheng and CHEN Si-zhong.Lane Detection System Based on Region Dynamically Planning and Dual Model Fitting[J].Journal of Beijing Institute of Technology(Natural Science Edition),2014,34(5):485-489. |
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| Authors: | WANG Bao-feng QI Zhi-quan MA Guo-cheng and CHEN Si-zhong |
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| Affiliation: | School of Mechanical Engineering, Beijing Institute of Technology, Beijing 100081, China |
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| Abstract: | In order to improve the performance of highway lane departure warning system, a lane detection and tracking system was presented based on region dynamically planning and dual model fitting. The image pre-processing was featured by a method of template erosion and dilation to remove the interference information. According to the infinitesimal theory, the picture was divided into small pieces, which were extracted separately, and analyzed as a whole. Finally the straight line and B-spline models were applied to simulate the lane. Test results of this system show that the system and its arithmetic improve the adaptability to different lane markings. |
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| Keywords: | lane detection region dynamically planning dual model lane departure warning |
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