A novel method of shuttlecock trajectory tracking and prediction for a badminton robot

• Published in: Robotica Vol. 40; no. 6; pp. 1682 - 1694
• Main Authors: Zhi, Junming, Luo, Deyuan, Li, Kui, Liu, Ya, Liu, Huaqiu
• Format: Journal Article
• Language: English
• Published: Cambridge, UK Cambridge University Press 01.06.2022
• Subjects: Algorithms; Binocular vision; Infrared tracking; Kalman filters; Neural networks; Prediction models; Radial basis function; Shuttlecocks; Vision systems; RBF network; Target tracking; Prediction
• ISSN: 0263-5747; 1469-8668
• DOI: 10.1017/S0263574721001053

This paper proposes an aerodynamic analysis of the shuttlecock and a novel method for predicting shuttlecock trajectory. First, we have established a shuttlecock track data set by an infrared-based binocular vision system. Then the unscented Kalman filter algorithm is designed to further filter the...