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Sensor fusion based ambulatory system for indoor localization

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초록

Indoor localization for pedestrian is the key technology for caring the elderly, the visually impaired and the handicapped in health care districts. It also becomes essential for the emergency responders where the GPS signal is not available. This paper presents newly developed pedestrian localization system using the gyro sensors, the magnetic compass and pressure sensors. Instead of using the accelerometer, the pedestrian gait is estimated from the gyro sensor measurements and the travel distance is estimated based on the gait kinematics. Fusing the gyro information and the magnetic compass information for heading angle estimation is presented with the error covariance analysis. A pressure sensor is used to identify the floor the pedestrian is walking on. A complete ambulatory system is implemented which estimates the pedestrian’s 3D position and the heading.

Abstract

Indoor localization for pedestrian is the key technology for caring the elderly, the visually impaired and the handicapped in health care districts. It also becomes essential for the emergency responders where the GPS signal is not available. This paper presents newly developed pedestrian localization system using the gyro sensors, the magnetic compass and pressure sensors. Instead of using the accelerometer, the pedestrian gait is estimated from the gyro sensor measurements and the travel distance is estimated based on the gait kinematics. Fusing the gyro information and the magnetic compass information for heading angle estimation is presented with the error covariance analysis. A pressure sensor is used to identify the floor the pedestrian is walking on. A complete ambulatory system is implemented which estimates the pedestrian’s 3D position and the heading.

참고문헌 (9)

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  3. Ojeda, L, "Non-GPS navigation for security personnel and first responders", Journal of Navigation, 60(3), pp.391~407 (2007)
  4. Mezentsev, O, "Pedestrian dead reckoning-A solution to navigation in GPS signal degraded areas", Geomatica, 59(2), pp.175~182 (2005)
  5. Suh, Y. S, "Pedestrian inertial navigation with gait phase detection assisted zero velocity updating", Proceedings of the 4th International Conference on Autonomous Robots and Agents, pp.336~341 (2009)
  6. 강구태, "가속도 신호를 이용한 실시간 보행 분석", 센서학회지, 18(6), pp.449~455 (2009), 한국센서학회
  7. 정도운, "3축 가속도 센서를 이용한 자세 및 활동 모니터링", 센서학회지, 16(6), pp.467~474 (2007), 한국센서학회
  8. 이민영, "위치기반서비스를 위한 보행자의 위치추정", 한국차세대컴퓨팅학회 논문지, 5(4), pp.43~48 (2009), 한국차세대컴퓨팅학회
  9. Roland Siegwart, "Introduction to autonomous mobile robots" (2004), MIT Press

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