A Robust Method for Semi-Automatic Extraction of Road Centerlines Using a Piecewise Parabolic Model and Least Square Template Matching
A Robust Method for Semi-Automatic Extraction of Road Centerlines Using a Piecewise Parabolic Model and Least Square Template Matching
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DOI：
10.14358/pers.70.12.1393
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发表时间：
2004-12
影响因子：
1.3
通讯作者：
Xiangyun Hu;Zuxun Zhang;C. Tao
中科院分区：
文献类型：
--
作者：
Xiangyun Hu;Zuxun Zhang;C. Tao
本文报道了一种基于0阶连续分段抛物线模型的半自动道路提取方法。分段抛物线模型是由人工粗略放置种子点来构造的。在这种情况下，道路提取实际上成为一个物理问题，解决每一个抛物线只有两个或三个未知参数，通过使用图像的约束。采用最小二乘模板匹配法求解抛物线参数。该模板是可变形的，并基于双道路边缘的自动检测。此外，该匹配方法还提出了一种灵活的观测权评估方法。在不同图像集上的测试结果表明，该方法能够鲁棒有效地提取道路中心线，包括急转弯的中心线。此外，与手动数字化过程相比，该方法提供了更高的效率。最后，作者讨论了半自动道路提取和未来的工作，以提高这些方法的可靠性和扩展的可用性。
This article reports on a study that used a semi-automatic road extraction method based on a piecewise parabola model with 0-order continuity. The piecewise parabola model is constructed by seed points coarsely placed by a human operator. In this situation, road extraction actually becomes a physical problem of solving of each piece of parabola with only two or three unknown parameters by using image constraints. The authors used a least square template matching to solve the parabola parameters. The template is deformable and based on the automatic detection of dual road edges. In addition, a method of flexible observation weight evaluation has also been developed in this matching method. The results of tests on various image sets show that the method is able to extract road centerlines robustly and efficiently, including centerlines with sharp turns. In addition, this method offers much higher efficiency compared to the manual digitizing process. The authors conclude with a discussion of semiautomatic road extraction and future work for improving the reliability and extending the availability of these methods.