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Statistical Estimation of Motion Trajectories of Falling Petals Based on Particle Filtering

Particle Filtering에 근거한 낙하하는 꽃잎의 운동궤적의 통계적 추정

Lee, Jae Woo
이재우

  • Received : 2015.12.22
  • Accepted : 2016.05.22
  • Published : 2016.07.01

Abstract

This paper presents a method for predicting and tracking the irregular motion of bio-systems, - such as petals of flowers, butterflies or seeds of dandelion - based on the particle filtering theory. In bio-inspired system design, the ability to predict the dynamic motion of particles through adequate, experimentally verified models is important. The modeling of petal particle systems falling in air was carried out using the Bayesian probability rule. The experimental results show that the suggested method has good predictive power in the case of random disturbances induced by the turbulence of air.

Keywords

Particle Filter;Bayes Filter;Bio System;Motion Estimation;Petal Flying

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