Transactions of the Korean Society of Mechanical Engineers A (대한기계학회논문집A)

The Korean Society of Mechanical Engineers (대한기계학회)
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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 (Dept. of Creative Science and Technology, Waseda Univ.)
  • 이재우 (와세다대학교 창조이공학 연구과)
  • Received : 2015.12.22
  • Accepted : 2016.05.22
  • Published : 2016.07.01
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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.

이 논문은 꽃잎들, 나비나 민들레 씨앗들과 같은 생물체 시스템의 불규칙한 운동을 파티클 필터링 이론에 근거하여 예측하고 추적하는 유용한 방법을 제안한다. 생물체 모사 시스템 설계에 있어서, 생체 시스템의 운동에 대한 관측과 생체 시스템 운동학에 대한 새로운 설계원리가 어떻게 자연스럽게 운동하는가에 대한 인상을 얻는데 중요하다. 공기 중에서 비행하는 꽃잎에 대한 시스템 모델링이 베이지안 확률 규칙을 사용하여 수행되었다. 실험결과는 제안된 방법이 공기의 난류로부터 유도된 랜덤한 외란이 있는 경우에도 잘 예측함을 보여준다.

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References

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