Application of minimum error entropy unscented kalman filter in table tennis trajectory prediction

HIGHLIGHTS

• who: Shenyue Luo and collaborators from the Department of, University of Electronic Science and Technology of, Chengdu, Sichuan have published the Article: Application of minimum error entropy unscented Kalman filter in table tennis trajectory prediction, in the Journal: PLOS ONE of February/25,/2022
• what: For non-linear and non-Gaussian model of table tennis, the MEEUKF algorithm is used to to estimate and predict the trajectory of this model.
• how: In this paper a novel Kalman filter called minimum error entropy unscented Kalman filter (MEEUKF) is employed to estimate the motion trajectory . . .
  

   

  

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