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Ball Distance Estimation and Tracking System of Humanoid Soccer Robot

机译:类人足球机器人的球距估计与跟踪系统

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摘要

Modern Humanoid Soccer Robots in uncontrolled environments need to be based on vision and versatile. This paper propose a method for object measurement and ball tracking method using Kalman Filter for Humanoid Soccer, because the ability to accurately track a ball is one of the important features for processing high-definition image. A color-based object detection is used for detecting a ball while PID controller is used for controlling pan tilt camera system. We also modify the robots controller CM-510 in order able to communicate efficiently using main controller. The proposed method is able to determine and estimate the position of a ball and kick the ball correctly with the success percentage greater than 90%. We evaluate and present the performance of the system.
机译:在不受控制的环境中,现代人形足球机器人需要基于视觉和多功能性。本文提出了一种用卡尔曼滤波器进行人形足球的目标测量和球跟踪的方法,因为准确地跟踪球的能力是处理高清图像的重要特征之一。基于颜色的对象检测用于检测球,而PID控制器用于控制云台摄像机系统。我们还修改了机器人控制器CM-510,以便能够使用主控制器进行有效通信。所提出的方法能够确定和估计球的位置,并以成功率大于90%正确地踢球。我们评估并介绍系统的性能。

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  • 会议地点 Bali(ID)
  • 作者单位

    School of Computer Science, Bina Nusantara University, Jakarta, Indonesia;

    School of Computer Science, Bina Nusantara University, Jakarta, Indonesia;

    School of Computer Science, Bina Nusantara University, Jakarta, Indonesia;

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  • 正文语种 eng
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