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

  • 제18권5호
  • /
  • Pages.156-170
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  • 2019
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  • 1738-0774(pISSN)
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  • 2384-1729(eISSN)
한국ITS학회 (The Korea Institute of Intelligent Transport Systems)
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지하철 역사에서 실내 내비게이션 서비스를 위한 KAI-R 시스템

KAI-R: KAIST Railroad Indoor Navigation System for Subway Station

  • 이건우 (한국과학기술원 전산학부) ;
  • 고대권 (한국과학기술원 전산학부) ;
  • 김현 (한국교통대학교 교통ICT융합연구센터) ;
  • 한동수 (한국과학기술원 전산학부)
  • 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)
  • 투고 : 2019.08.29
  • 심사 : 2019.09.27
  • 발행 : 2019.10.31
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초록

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.

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.

키워드

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