|本期目录/Table of Contents|

[1]赵礼刚,韩亚轩,胥平卒,等.基于离群值过滤道路中心线检测算法的研究[J].工业仪表与自动化装置,2021,(05):123-126+132.[doi:10.19950/j.cnki.cn61-1121/th.2021.05.026]
　ZHANG Ligang,HAN Yaxuan,XU Pingzu,et al.Research on road centerline detection algorithm based on outlier filtering[J].Industrial Instrumentation & Automation,2021,(05):123-126+132.[doi:10.19950/j.cnki.cn61-1121/th.2021.05.026]
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基于离群值过滤道路中心线检测算法的研究

《工业仪表与自动化装置》[ISSN:1000-0682/CN:61-1121/TH]

卷:
期数:
2021年05期
页码:
123-126+132
栏目:
出版日期:
2021-10-15

文章信息/Info

Title:
Research on road centerline detection algorithm based on outlier filtering
作者:
赵礼刚1; 2;  韩亚轩1; 胥平卒1; 刘 聪1
1.江苏科技大学 机械工程学院，江苏 镇江 212003；
2.江苏省船海机械装备先进制造重点实验室，江苏 镇江 212003
Author(s):
ZHANG Ligang1; 2; HAN Yaxuan1; XU Pingzu1; LIU Cong1
1.School of Mechanical Engineering, Jiangsu University of Science and Technology, Jiangsu Zhenjiang 212003,China;
2. Jiangsu Provincial Key Laboratory of Advanced Manufacturing for Marine Mechanical Equipment, Jiangsu Zhenjiang 212003,China
关键词:
智能驾驶; 离群值过滤; 阈值过滤; 滑窗检测
Keywords:
intelligent driving; outlier filtering; filter by threshold; slide-window detection
分类号:
TP391.41
DOI:
10.19950/j.cnki.cn61-1121/th.2021.05.026
文献标志码:
A
摘要:
在实际应用中，针对智能驾驶对道路辅引线实时性与准确性的高要求，提出了一种基于离群值过滤的道路中心线提取算法。在图像预处理方面，将梯度阈值与颜色阈值相结合，降低在道路边缘缺陷或光照不足的影响；在边缘拟合方面，将滑窗检测与最小二乘法结合拟合道路边缘；在中心线提取方面，通过计算像素坐标的差值来达到离群值过滤的目的，经验证：算法在实时性与准确性方面都有一定的优势。
Abstract:
In practical application, aiming at the high requirements of real-time and accuracy of road auxiliary lead for intelligent driving,a road centerline extraction algorithm based on outlier filtering is proposed. In image preprocessing, gradient threshold and color threshold are combined to reduce the influence of road edge defects or insufficient illumination ; In terms of edge fitting, under the inverse perspective transform image,the sliding window detection is combined with the least square method to fit the road edge ; In the aspect of centerline extraction, outlier filtering is achieved by calculating the difference of pixelcoordinates.It is proved that the algorithm in this paper has certain advantagesin real-time and accuracy.

参考文献/References:

[1]HAGHIGHI Nima,LIU Xiaoyue Cathy,ZHANG Guohui,et al. Impact of roadway geometric features on crash severity on rural two-lane highways[J].Accident; analysis and prevention,2018,111.

[2]DENG Xixi,WANG Xiaonian,ZHU Jin. Available lane detection based on radon transform[J].Advanced Materials Research,2014,1046:415-424.
[3]PUN Chi Man, HUANG Guoheng.On-line video object segmentation using illumination-invariant color-texture feature extraction and marker prediction[J].Journal of Visual Communication and Image Representation,2016,41:391-405.
[4]JUNG H, MIN J, KIM J.An efficient lane detection algorithm for lane departure detection[C]// Intelligent Vehicles Symposium. IEEE, 2013.
[5]VILLAMIZAR M, SANFELIU A, ANDRADE Cetto J. Computation of rotation local invariant features using the integral image for real time object detection[C]// International Conference on Pattern Recognition. IEEE, 2006.
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备注/Memo

备注/Memo:
收稿日期：2021-05-26?div>
作者简介：
赵礼刚（1978-），男，江苏苏州人，博士，江苏科技大学机械工程学院讲师，主要从事精密加工与特种加工等。
更新日期/Last Update: 1900-01-01