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Method of Position Correction Exploiting Street View and Character Tag for Location-based AR games in Urban Environments
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논문 기본 정보

Type
Academic journal
Author
Jinhyun Park (홍익대학교) Jun Park (홍익대학교)
Journal
Korean Society For Computer Game 한국컴퓨터게임학회논문지 한국컴퓨터게임학회논문지 제34권 제4호 KCI Accredited Journals
Published
2021.12
Pages
99 - 110 (12page)

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Method of Position Correction Exploiting Street View and Character Tag for Location-based AR games in Urban Environments
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Abstract· Keywords

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In location-based AR games, accurately estimating a position of a mobile device is one of important factors. The accuracy of AR contents is determined by how accurately a position estimation system of a mobile device estimates a position. However, in urban environments, signals needed for estimating a position will be reflected, refracted, diffracted, and blocked by obstacles such as buildings (especially skyscrapers), billboards, and signs. As a result, a position error occurs in the position estimated by the position estimation system of the mobile device. In this paper, we propose a simple and reliable method of position correction exploiting commercial street view and character tags. We calculate a matching score by comparing character tags generated from an query image and street view panorama images. Then, according to the matching score, the position of the mobile device is corrected through retrieving a street view that is close to the actual position (ground truth) where the query image was taken. We corrected a position with a position error of 43.71m to a position with a position error of 4.09m using the proposed method. One of the advantages of the proposed method is that the position can be corrected regardless of day or night.
#Street View #Character Tag #Position Correction #Position Error #Urban Environment

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References (9)

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이양원 / 2013 / 3차원 건물지도와 전파도달모형을 이용한 도심부 GPS의 위치정확도 모의 / 한국지도학회지 13(1):87~97 google schola S Duncan / 2013 / Portable Global Positioning System Receivers : Static Validity and Envitonmental Conditions / American Journal of Preventive Medicine 44(2):e10~e29 google schola N Yazawa / 2009 / Image Based View Localization System Retrieving from a Panorama Database by SURF / IEEE IAPR International Conference on Machine Vision Applications (MVA), :20~22 google schola AR Zamir / 2010 / Accurate Image Localization Based on Google Maps Street View / Machines Computer Vision ECCV :255~268 google schola A Hallquist / 2013 / Single View Pose Estimation of Mobile Devices in Urban Environments / Machine IEEE Workshop on Applications of Computer Vision (WACV) :347~354 google schola

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