Journal of the Korea Academia-Industrial cooperation Society (한국산학기술학회논문지)

The Korea Academia-Industrial cooperation Society (한국산학기술학회)
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Advanced Scheme for PDR system Using Neural Network

Neural Network를 이용한 PDR 시스템의 정확도 향상 기법

  • 곽휘권 (삼성탈레스 지휘통제그룹)
  • Received : 2014.04.23
  • Accepted : 2014.08.07
  • Published : 2014.08.31
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Abstract

This paper proposes an improved scheme of pedestrian position information system using neural network theory in a GPS-disabled area. Through a learning/obtaining gait pattern and step distance about walk, run, duck walk, crab walk and crawl, the position estimation error could be minimized by rejecting the inertial navigation drift. A portable hardware module was implemented to evaluate the performance of the proposed system. The performance and effectiveness of the suggested algorithm was verified by experiments indoors.

본 논문에서는 확률신경망 이론을 적용하여 GPS 단절구간에서 보행자의 위치정보의 정확도를 향상시키는 기법을 제안한다. 일반적인 보행 외 옆으로 걷기, 오리걸기, 기어가기 등 여러 보행 형태에 대한 보행 패턴을 학습하고 이에 대한 이동거리를 구하여 관성항법의 적분오차를 최소화하도록 한다. 제안 시스템은 보행자가 휴대할 수 있는 소형/경량화/저전력 설계된 H/W 모듈 형태로 구현을 하였으며, 건물 내에서의 보행자 이동 실험을 통해 제안 시스템의 성능을 검증하였다.

Keywords

References

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