基于圆弧角信息编码的单目视觉人工地标设计与识别

Yiming Xu, Chengcheng Liu, Juping Gu, Juan Zhang, Liang Hua, Qiuxia Dai, Haifeng Gu, Zhenkun Xu, Yiming Xu, Juping Gu, Liang Hua
{"title":"基于圆弧角信息编码的单目视觉人工地标设计与识别","authors":"Yiming Xu, Chengcheng Liu, Juping Gu, Juan Zhang, Liang Hua, Qiuxia Dai, Haifeng Gu, Zhenkun Xu, Yiming Xu, Juping Gu, Liang Hua","doi":"10.1109/YAC.2018.8406466","DOIUrl":null,"url":null,"abstract":"According to the requirements of monocular vision positioning of mobile robots in structured environment, a method of artificial landmark design, detection and recognition is proposed to adapt to the large field angle and invariance of rotation. An extensible artificial landmark based on arc-angle information coding is designed, the landmark detection and extraction are realized by structure contour detection, the extracted landmark image is corrected by Hough transform and inverse perspective transformation, After the image filtering and enhancement, the improved circle fitting algorithm is proposed to complete the ring detection and segmentation, and finally the arc angle is calculated by the vector method to identify the landmark and realize the decoding. The experimental results show that compared with the classical QR code method, when using the same imaging system, the landmark design and detection and recognition method proposed in this paper can realize the detection and recognition at longer distances and realize the accurate identification within the range of 0–60 degrees, and has strong anti-noise ability.","PeriodicalId":226586,"journal":{"name":"2018 33rd Youth Academic Annual Conference of Chinese Association of Automation (YAC)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2018-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Design and recognition of monocular visual artificial landmark based on arc angle information coding\",\"authors\":\"Yiming Xu, Chengcheng Liu, Juping Gu, Juan Zhang, Liang Hua, Qiuxia Dai, Haifeng Gu, Zhenkun Xu, Yiming Xu, Juping Gu, Liang Hua\",\"doi\":\"10.1109/YAC.2018.8406466\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"According to the requirements of monocular vision positioning of mobile robots in structured environment, a method of artificial landmark design, detection and recognition is proposed to adapt to the large field angle and invariance of rotation. An extensible artificial landmark based on arc-angle information coding is designed, the landmark detection and extraction are realized by structure contour detection, the extracted landmark image is corrected by Hough transform and inverse perspective transformation, After the image filtering and enhancement, the improved circle fitting algorithm is proposed to complete the ring detection and segmentation, and finally the arc angle is calculated by the vector method to identify the landmark and realize the decoding. The experimental results show that compared with the classical QR code method, when using the same imaging system, the landmark design and detection and recognition method proposed in this paper can realize the detection and recognition at longer distances and realize the accurate identification within the range of 0–60 degrees, and has strong anti-noise ability.\",\"PeriodicalId\":226586,\"journal\":{\"name\":\"2018 33rd Youth Academic Annual Conference of Chinese Association of Automation (YAC)\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-05-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 33rd Youth Academic Annual Conference of Chinese Association of Automation (YAC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/YAC.2018.8406466\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 33rd Youth Academic Annual Conference of Chinese Association of Automation (YAC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/YAC.2018.8406466","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

根据结构化环境中移动机器人单目视觉定位的要求,提出了一种适应大视场角度和旋转不变性的人工地标设计、检测和识别方法。设计了一种基于圆弧角信息编码的可扩展人工地标,通过结构轮廓检测实现地标的检测与提取,提取的地标图像通过霍夫变换和反透视变换进行校正,在对图像进行滤波和增强后,提出改进的圆拟合算法完成环的检测与分割。最后用矢量法计算圆弧角,识别地标并实现解码。实验结果表明,与经典QR码方法相比,在使用相同成像系统的情况下,本文提出的地标设计与检测识别方法可以实现更远距离的检测识别,实现0-60度范围内的准确识别,并且具有较强的抗噪能力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Design and recognition of monocular visual artificial landmark based on arc angle information coding
According to the requirements of monocular vision positioning of mobile robots in structured environment, a method of artificial landmark design, detection and recognition is proposed to adapt to the large field angle and invariance of rotation. An extensible artificial landmark based on arc-angle information coding is designed, the landmark detection and extraction are realized by structure contour detection, the extracted landmark image is corrected by Hough transform and inverse perspective transformation, After the image filtering and enhancement, the improved circle fitting algorithm is proposed to complete the ring detection and segmentation, and finally the arc angle is calculated by the vector method to identify the landmark and realize the decoding. The experimental results show that compared with the classical QR code method, when using the same imaging system, the landmark design and detection and recognition method proposed in this paper can realize the detection and recognition at longer distances and realize the accurate identification within the range of 0–60 degrees, and has strong anti-noise ability.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
A local multi-robot cooperative formation control Data-driven policy learning strategy for nonlinear robust control with unknown perturbation Inverse kinematics of 7-DOF redundant manipulators with arbitrary offsets based on augmented Jacobian On supply demand coordination in vehicle-to-grid — A brief literature review Trajectory tracking control for mobile robots based on second order fast terminal sliding mode
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1