The Journal of The Korea Institute of Intelligent Transport Systems (한국ITS학회 논문지)

The Korea Institute of Intelligent Transport Systems (한국ITS학회)
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KAI-R: KAIST Railroad Indoor Navigation System for Subway Station

지하철 역사에서 실내 내비게이션 서비스를 위한 KAI-R 시스템

  • Lee, Gunwoo (School of Computing, KAIST) ;
  • Ko, Daegweon (School of Computing, KAIST) ;
  • Kim, Hyun (Research Center for Convergence of roads, vehicles, people and advanced ICT, KNUT) ;
  • Han, Dongsoo (School of Computing, KAIST)
  • 이건우 (한국과학기술원 전산학부) ;
  • 고대권 (한국과학기술원 전산학부) ;
  • 김현 (한국교통대학교 교통ICT융합연구센터) ;
  • 한동수 (한국과학기술원 전산학부)
  • Received : 2019.08.29
  • Accepted : 2019.09.27
  • Published : 2019.10.31
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Abstract

Rapid increasing of smartphones has changed people's lifestyles, and location-based services are providing a platform to provide various conveniences in accordance with these changes. In particular, it may provide convenience to many users if location-based services are provided in an indoor area such as subway station. However, it is still a difficult task to ensure accurate positioning result for guiding routes in subway stations. This study proposes a KAI-R system that allows all processes to be performed in one system for indoor navigation in subway stations. The proposed system includes a new pedestrian step detection method for continuous positioning along with an improved fusion positioning algorithm.

급속히 늘어난 스마트폰의 보급은 인간의 라이프 스타일 변화에 영향을 미치고 있으며, 스마트폰 기반 위치정보는 실내외 공간에서 다양한 편의성 서비스를 제공할 수 있는 환경을 마련하고 있다. 특히, GPS 정보가 제공되고 있지 않은 지하공간의 경우에서 위치 기반 서비스가 제공된다면 정보약자와 교통약자를 위한 길 찾기와 길 안내 등 많은 편의를 제공할 수 있다. 그러나, 지하철 역사에서 길 안내 서비스 구현은 측위 정확도를 확보하는 것은 여전히 어려운 과제이다. 본 연구는 지하철 역사에서 실내 내비게이션을 위해 선행되어야 하는 모든 과정을 하나의 시스템에서 수행할 수 있도록 융합 측위 알고리즘과 함께 연속 측위에서 사용하는 새로운 보행자 걸음 인식기법을 개발하고, 평가하고 있다.

Keywords

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