| 基于交叉视觉皮质模型的非结构化道路检测算法 |
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| 引用本文： | 高庆吉,张磊.基于交叉视觉皮质模型的非结构化道路检测算法[J].电子学报,2011,39(10):2366-2371. |
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| 作者姓名： | 高庆吉 张磊 |
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| 作者单位： | 中国民航大学机器人研究所,天津,300300 |
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| 基金项目： | 国家自然科学基金项目(No.60776811); 中央高校基本科研业务费中国民航大学专项(No.ZXH2009B002) |
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| 摘 要： | 针对传统非结构化道路检测算法对各种复杂路面环境通用性不强且计算复杂度高的问题,提出了一种基于交叉视觉皮质模型(ICM)的道路检测算法.ICM具有接近生物视觉信息处理机制的特点,能够根据像素及其邻域的相关性动态区分目标和背景.基于ICM分割算法需要解决的问题是最佳分割阈值和循环迭代次数的确定,提出了采用最小交叉熵判决机制...
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| 关 键 词： | 非结构化道路 图像分割 交叉视觉皮质模型 最小交叉熵 |
| 收稿时间： | 2010-09-14 |
An Unstructured Lane Detection Algorithm Based on Intersecting Cortical Model |
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| GAO Qing-ji,ZHANG Lei.An Unstructured Lane Detection Algorithm Based on Intersecting Cortical Model[J].Acta Electronica Sinica,2011,39(10):2366-2371. |
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| Authors: | GAO Qing-ji ZHANG Lei |
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| Institution: | GAO Qing-ji,ZHANG Lei(Robotics Institute,Civil Aviation University of China,Tianjin 300300,China) |
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| Abstract: | A lane detection algorithm is proposed using intersecting cortical model(ICM) in view of the weak universality and high complexity of the traditional methods in detecting the unstructured lane whose circumstance is complex and diverse.ICM has the superiority which is much closer to the information processing mechanism of biological vision.The ICM can distinguish objects and background dynamically according to the relevance between pixel and its neighbor pixels.As the best threshold and cyclic iterative time... |
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| Keywords: | unstructured lane image segmentation intersecting cortical model(ICM) minimum cross-entropy |
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