Robust recognition of road markings using contour coincidence analysis

被引：0
|
作者：
Chen J. [1 ]
Xiao X. [2 ]
Huang Y. [2 ]
Tang J. [2 ]
Geng Y. [1 ]
机构：
[1] College of Information Engineering, Northwest A&F University, Yangling
[2] School of Automation, Central South University, Changsha
来源：
Geng, Yaojun (gengyaojun@nwsuaf.edu.cn) | 1813年 / Central South University of Technology卷 / 51期
基金：
中国国家自然科学基金;
关键词：
Contour analysis; Edge detection; Elliptic Fourier descriptors; Non-target interference; Traffic sign;
D O I：
10.11817/j.issn.1672-7207.2020.07.007
中图分类号：
学科分类号：
摘要：
Considering that the road marking recognition is a key problem in automatic driving, a method of road marking recognition was proposed to eliminate a lot of non-target interference in road scenes. This method fused the classification results of support vector machine based on elliptic Fourier descriptor with the results of contour analysis of road markers. In this algorithm, in order to reduce the interference of non-target region, the coincidence degree analysis method of contour image and Canny edge image was adopted to filter the non-target region. The results show that the classification accuracy is up to 98.69%, the recall rate is up to 94.02%, and the false alarm rate is 0.61%. The harmonic average F1 for classification accuracy and the recall rate is 96.30%, the average running time of the algorithm is 34.79 ms, and the algorithm can detect and classify 8 common road markings in real time. This method has good recognition effects. © 2020, Central South University Press. All right reserved.
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页码：1813 / 1824
页数：11
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