计算机与现代化

• 算法设计与分析 • 上一篇    下一篇

自平衡跟随机器人的目标识别及预测重拾策略

  

  1. (广西师范大学电子工程学院,广西桂林541004)
  • 收稿日期:2018-11-13 出版日期:2019-05-14 发布日期:2019-05-14
  • 作者简介:杜文浩(1994-),男,河北衡水人,硕士研究生,研究方向:嵌入式开发,机器人控制,E-mail: jinshengdwh@sina.com; 通信作者:胡维平(1963-),男,教授,博士,研究方向:自适应信号处理理论和应用,生物医学信号处理,图像处理和模式识别,E-mail: huwp@mailbox.gxnu.edu.cn; 张佑贤(1994-),男,硕士研究生,研究方向:图像处理,车牌识别; 于健涛(1995-),男,硕士研究生,研究方向:嵌入式开发,智能移动机器人。
  • 基金资助:
    广西科技计划项目(桂科AC1638003); 广西研究生教育创新项目(XYSZ2018079)

Self-balancing Follow-up Robot Target Recognition and Loss Re-selection Strategy

  1. (College of Electronic Engineering, Guangxi Normal University, Guilin 541004, China)
  • Received:2018-11-13 Online:2019-05-14 Published:2019-05-14

摘要: 为使用更简单有效的方式实现双轮自平衡机器人的自适应跟随控制,采用单目视觉目标识别的Apriltag算法,可被动式地反解三维坐标中相机的相对位置,以此对目标进行定位。在目标识别的跟踪与选择中利用判别法、门限法以及滑窗法进行限定,同时使用多项式曲线拟合方法对目标移动的下一状态进行跟踪预测,判断出运动趋势,使在丢失目标的情况下,根据设计的寻找方案,补偿跟随重拾目标。实验表明,本文方法在目标识别与预测及丢失后重拾目标方面有显著效果。

关键词: 单目视觉, 自主跟随, 目标识别, 控制策略

Abstract: In order to realize the adaptive following control of two-wheel self-balancing robot in a simpler and more effective way, the Apriltag algorithm of monocular vision target recognition can passively solve the relative position of camera in the three-dimensional coordinates, thereby positioning the target. In the tracking and selection of target recognition, the discriminant method, the threshold method and the sliding window method are used to define, and the polynomial curve fitting method is used to track and predict the next state of the target movement, and the motion trend is determined. In the case of losing the target, according to the design of a set of search programs, the compensation follows and regains the target. Tests show that the method proposed in this paper has a significant effect in regaining the target after target recognition and loss.

Key words: monocular vision, autonomous following, target recognition, control strategy

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