电子科技 ›› 2023, Vol. 36 ›› Issue (11): 47-55.doi: 10.16180/j.cnki.issn1007-7820.2023.11.008

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基于Apriltag的室外抗干扰识别定位系统研究

代进洪,向振文,喻会福   

  1. 贵州航天天马机电科技有限公司,贵州 遵义 563000
  • 收稿日期:2022-06-30 出版日期:2023-11-15 发布日期:2023-11-20
  • 作者简介:代进洪(1994-),男,工程师。研究方向:光学工程。|向振文(1985-),男,博士,高级工程师。研究方向:人工智能和自动化控制。|喻会福(1982-),男,高级工程师。研究方向:机械液压与控制。
  • 基金资助:
    装备预研联合基金(6141B070227)

Study on Outdoor Anti-Jamming Identification and Location System Based on Apriltag

DAI Jinhong,XIANG Zhenwen,YU Huifu   

  1. Guizhou Aerospace Tianma Electromechanical Technology Co., Ltd., Zunyi 563000, China
  • Received:2022-06-30 Online:2023-11-15 Published:2023-11-20
  • Supported by:
    Equipment Pre-Research Joint Fund Project(6141B070227)

摘要:

图像识别定位技术是实现工业自动化、智能化的关键。实际应用中,在室外干扰环境下目标经常出现被部分遮挡等情况,导致图像识别定位失效。针对室外干扰环境下图像识别定位失效问题,文中提出一种基于Apriltag的室外抗干扰识别定位系统,用以替代常规图像识别定位系统。将Apriltag特性与单目视觉原理结合,构建基于Apriltag的图像识别定位系统。利用Apriltag检测算法和基于SURF特征检测的遮挡目标识别算法实现全天候、抗干扰的室外目标识别和定位。采用基于Apriltag的定位靶标、工业相机和工控机等搭建实验系统,实验结果表明该系统在室外干扰环境下XY平面的定位误差分别为1.44 mm和1.36 mm,识别时间为90 ms。在重复实验下误差波动幅度小于0.5 mm,表明该识别定位系统具有高精度、快速性和稳定性。

关键词: 图像识别, Apriltag, 遮挡目标, 识别定位, SURF算法, 特征检测, 干扰环境, 单目视觉

Abstract:

Image recognition and positioning technology is the key to realize industrial automation and intelligence. However,in practical applications, the target is often partially occluded in the outdoor interference environment, which results in the invalidation of the image recognition and positioning system. To solve the problem of invalidation of image recognition and positioning system in outdoor interference environment, an outdoor anti-jamming recognition and positioning system based on Apriltag is proposed to replace the conventional system. Combining Apriltag feature with monocular vision principle, an image recognition and positioning system based on Apriltag is established. The Apriltag detection algorithm and the occluded target recognition algorithm based on SURF feature detection are used to achieve all-weather and anti-interference outdoor target recognition and positioning. The experimental system is established with the positioning target based on Apriltag, industrial camera and industrial computer. The experimental results show that the positioning errors of the XY plane are 1.44 mm and 1.36 mm, respectively, the recognition time is 90 ms, The error fluctuation under repeated experiments is less than 0.5 mm, which indicates that the recognition positioning system has high accuracy, rapidity and stability.

Key words: image recognition, Apriltag, occlusion targets, identify the location, SURF algorithm, feature detection, disturbing the environment, monocular vision

中图分类号: 

  • TP249