羽毛球运动轨迹的多重二维扫描仪检测与预测

Govind V Waghmare, Sneha Borkar, V. Saley, Hemant Chinchore, Shivraj Wabale
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引用次数: 8

摘要

本文介绍了利用二维激光扫描仪在羽毛球运动环境中对羽毛球进行定位。提出了一种预测毽子运动轨迹终点的方法。该系统使用两个二维激光扫描仪来定位羽毛球在空中的运动轨迹。它有助于计算毽子的速度、方向,从而预测其轨迹的终点。该系统作为羽毛球机器人的智能反馈系统。羽毛球运动机器人需要增强型、确定性的羽毛球检测系统,才能实现准确的羽毛球运动。羽毛球检测系统可用于羽毛球运动机器人的设计,使羽毛球运动更加先进,机器人可以辅助运动员进行训练。利用两台二维激光扫描仪进行复杂的羽毛球轨迹预测,得到了仿真结果和实际实验结果。与传统的基于相机的毽子检测方法相比,物理实现确保了最小的计算延迟。用两台扫描仪对离散时间间隔的毽子进行了现场定位试验,取得了良好的结果,表明该检测系统经过适当的改进,可以用于毽子轨迹预测。
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Badminton shuttlecock detection and prediction of trajectory using multiple 2 dimensional scanners
This paper describes the use of two dimensional (2-D) laser scanner for locating badminton shuttlecock in real playing environment. It proposes a method to predict the end point of shuttlecock trajectory. The system is designed using two 2-D laser scanners to locate shuttlecock in midst of air in its trajectory. It helps to calculate shuttlecock's speed, orientation and hence, to predict an end point of its trajectory. This system acts as an intelligent feedback system to a badminton playing robot. The badminton playing robot requires enhanced and deterministic shuttlecock detection system for its accurate operations. The shuttlecock detection system can be implemented in designing of such badminton playing robots making the badminton sport more advanced as robots can be used to assist players in training programs. The paper deals with simulation and real experimental results obtained by two 2-D laser scanners to perform complex task of shuttlecock trajectory prediction. The physical implementation ensures minimum computational latency over traditional camera based shuttlecock detection methods. On field trials involved two scanners to locate shuttlecock at discrete time interval and promising results are obtained indicating such detection system with suitable modifications can be employed in shuttlecock trajectory prediction.
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