한국재난정보학회 논문집 (Journal of the Society of Disaster Information)

  • 제17권3호
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  • Pages.521-534
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  • 2021
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  • 1976-2208(pISSN)
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  • 2671-5287(eISSN)
한국재난정보학회 (The Korean Society of Disaster Information)
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IMU 센서를 사용한 보행항법 기반 실내 위치 측위 연구

A Study on Indoor Positioning based on Pedestrian Dead Reckoning Using Inertial Measurement Unit

  • Lee, Jeongpyo (Electronic Engineering Department, Kwangwoon University) ;
  • Park, Kyung-Eun (Electronic Engineering Department, Kwangwoon University) ;
  • Kim, Youngok (Electronic Engineering Department, Kwangwoon University)
  • 투고 : 2021.07.09
  • 심사 : 2021.09.02
  • 발행 : 2021.09.30
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초록

연구목적: 본 논문에서는 스마트 폰의 IMU센서를 사용한 PDR 방식의 실내 위치 추적 기법을 제안하고자 하며, 보다 정확한 추정을 위해 스마트 폰의 자세 변화로 인한 오류를 최소화하여 이동방향, 걸음 수, 보폭의 세 가지 정보를 추정하는 방법을 제안하고자 한다. 연구방법: 제안된 기법의 유효성과 성능을 실험을 통해 확인하고자 하였으며, 동일한 조건에서 기존 성능기법과 비교해 본 논문에서 제안하는 기법을 입증 하고자 한다. 연구결과: 실험을 통해 측정된 측위 오차는 기존 기법의 평균 오차가 1.84m이고, 제안된 기법의 평균 오차는 0.76m로서 제안된 기법이 기존 기법보다 보행자의 실제 이동 방향과 위치를 더욱 정확하게 추정할 수 있음을 확인하였다. 결론: 본 논문에서 제안하는 스마트 폰의 IMU센서를 사용한 PDR 방식의 실내 위치 추적 기법은 모든 국민이 보유한 스마트 폰을 활용하여 재난 시 신속한 대피를 위한 자신의 위치 인식 및 이동 방향 인식에 활용이 가능할 것으로 기대된다.

Purpose: In this paper, we propose an indoor positioning scheme based on pedestrian dead reckoning using inertial measurement unit. By minimizing the effects of the orientation error of smart-phone, the more accurate estimation for the direction, the step count, and the stride can be achieved. Method: The effectiveness and the performance of the proposed scheme is evaluated by experiments, and it is compared with the conventional scheme in the same conditions. Result: The results showed that the positioning error of the proposed scheme was 0.76m, while that of the conventional scheme was 1.84m. Conclusion: Sine most people carry his/her own smart-phone, the proposed scheme can be helpful to recognize where he/she was and was heading when the fast evacuation is needed in indoors.

키워드

과제정보

This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea Government (MSIT) (NRF-2019R1F1A1049677 and NRF-2021R1F1A1049509). The present research has been conducted by the Excellent researcher support project of Kwangwoon University in 2021.

참고문헌

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피인용 문헌

  1. Smartphone-Based Pedestrian Dead Reckoning for 3D Indoor Positioning vol.21, pp.24, 2021, https://doi.org/10.3390/s21248180