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How many images can tell you the direction: A new method of navigation based on images

机译:多少图像可以告诉您方向:一种基于图像的新导航方法

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The problem of judging direction of the road is a tough problem in navigation system. This paper presents a image-based approach to address the direction problem in the road using Support Vector Machine(SVM) and Bayesian rules. Established localization or orientation algorithm is infeasible in the direction problem due to its time and space complexity. SVM is employed as an effective model for classification and Bayesian rule can improve the accuracy integrating more than one images. Experimental result shows that the proposed system reaches high accuracy in the direction problem.
机译:在导航系统中,判断道路方向的问题是一个棘手的问题。本文提出了一种基于图像的方法,使用支持向量机(SVM)和贝叶斯规则来解决道路上的方向问题。由于时间和空间的复杂性,建立的定位或定向算法在方向问题上是不可行的。支持向量机被用作一种有效的分类模型,贝叶斯规则可以提高整合多个图像的准确性。实验结果表明,所提出的系统在方向性问题上达到了较高的精度。

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