A novel dynamic tracking method for coded targets with complex background noise

IF 3.5 2区工程技术 Q2 OPTICS Optics and Lasers in Engineering Pub Date : 2024-10-25 DOI:10.1016/j.optlaseng.2024.108654

Limei Song , Tenglong Zheng , Yunpeng Li , Haozhen Huang , Yangang Yang , Xinjun Zhu , Zonghua Zhang

{"title":"A novel dynamic tracking method for coded targets with complex background noise","authors":"Limei Song , Tenglong Zheng , Yunpeng Li , Haozhen Huang , Yangang Yang , Xinjun Zhu , Zonghua Zhang","doi":"10.1016/j.optlaseng.2024.108654","DOIUrl":null,"url":null,"abstract":"<div><div>To address the issues of low tracking efficiency and poor localization accuracy of artificial coded targets under complex background interference conditions, a new method for dynamic tracking of coded targets is proposed. This method includes a lightweight feature tracker (CBAM-Slim-Net) for adaptive localization of coded circles and a large-capacity coded target solver (CSN-BSSCT). The CBAM-Slim-Net feature tracker achieves a detection accuracy of 0.987 with only 6.030 M parameters. In actual measurement environments with complex background interference, CSN-BSSCT can decode quickly and accurately, with a mean error of 0.036 mm in the three-dimensional Euclidean distance between coded circles in static measurement scenarios. Additionally, this method can analyze the motion trajectory of the target and perform dynamic stitching for 3D measurement from multiple perspectives, making it highly significant for applications in robot motion control and large-field-of-view 3D measurement.</div></div>","PeriodicalId":49719,"journal":{"name":"Optics and Lasers in Engineering","volume":null,"pages":null},"PeriodicalIF":3.5000,"publicationDate":"2024-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Optics and Lasers in Engineering","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0143816624006328","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"OPTICS","Score":null,"Total":0}

引用次数: 0

Abstract

To address the issues of low tracking efficiency and poor localization accuracy of artificial coded targets under complex background interference conditions, a new method for dynamic tracking of coded targets is proposed. This method includes a lightweight feature tracker (CBAM-Slim-Net) for adaptive localization of coded circles and a large-capacity coded target solver (CSN-BSSCT). The CBAM-Slim-Net feature tracker achieves a detection accuracy of 0.987 with only 6.030 M parameters. In actual measurement environments with complex background interference, CSN-BSSCT can decode quickly and accurately, with a mean error of 0.036 mm in the three-dimensional Euclidean distance between coded circles in static measurement scenarios. Additionally, this method can analyze the motion trajectory of the target and perform dynamic stitching for 3D measurement from multiple perspectives, making it highly significant for applications in robot motion control and large-field-of-view 3D measurement.

查看原文

微信好友朋友圈 QQ好友复制链接

本刊更多论文

针对具有复杂背景噪声的编码目标的新型动态跟踪方法

针对人工编码目标在复杂背景干扰条件下跟踪效率低、定位精度差的问题，提出了一种新的编码目标动态跟踪方法。该方法包括一个用于编码圆自适应定位的轻量级特征跟踪器（CBAM-Slim-Net）和一个大容量编码目标求解器（CSN-BSSCT）。CBAM-Slim-Net 特征跟踪器只需 6.030 M 个参数就能达到 0.987 的检测精度。在具有复杂背景干扰的实际测量环境中，CSN-BSSCT 可以快速准确地解码，在静态测量场景中，编码圆之间的三维欧氏距离平均误差为 0.036 毫米。此外，该方法还能分析目标的运动轨迹，并进行动态拼接，以实现多角度三维测量，因此在机器人运动控制和大视场三维测量中的应用意义重大。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文去求助

来源期刊

Optics and Lasers in Engineering 工程技术-光学

CiteScore

8.90

自引率

8.70%

发文量

384

审稿时长

42 days

期刊介绍： Optics and Lasers in Engineering aims at providing an international forum for the interchange of information on the development of optical techniques and laser technology in engineering. Emphasis is placed on contributions targeted at the practical use of methods and devices, the development and enhancement of solutions and new theoretical concepts for experimental methods. Optics and Lasers in Engineering reflects the main areas in which optical methods are being used and developed for an engineering environment. Manuscripts should offer clear evidence of novelty and significance. Papers focusing on parameter optimization or computational issues are not suitable. Similarly, papers focussed on an application rather than the optical method fall outside the journal''s scope. The scope of the journal is defined to include the following: -Optical Metrology- Optical Methods for 3D visualization and virtual engineering- Optical Techniques for Microsystems- Imaging, Microscopy and Adaptive Optics- Computational Imaging- Laser methods in manufacturing- Integrated optical and photonic sensors- Optics and Photonics in Life Science- Hyperspectral and spectroscopic methods- Infrared and Terahertz techniques