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논문 기본 정보

자료유형
학술저널
저자정보
Wang, Ying Hsuan (Yonsei University) Hong, Seunghwan (Stryx) Bae, Junsu (Yonsei University) Choi, Yoonjo (Yonsei University) Sohn, Hong-Gyoo (Yonsei University)
저널정보
한국측량학회 한국측량학회지 한국측량학회지 제37권 제5호
발행연도
2019.10
수록면
331 - 341 (11page)

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초록· 키워드

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With the popularity of sensor-rich environments, smartphones have become one of the major platforms for obtaining and sharing information. Since it is difficult to utilize GNSS (Global Navigation Satellite System) inside the area with many buildings, the localization of smartphone in this case is considered as a challenging task. To resolve problem of localization using smartphone a four step image-based localization method and procedure is proposed. To improve the localization accuracy of smartphone datasets, MMS (Mobile Mapping System) and Google Street View were utilized. In our approach first, the searching for candidate matching image is performed by the query image of smartphone’s using GNSS observation. Second, the SURF (Speed-Up Robust Features) image matching between the smartphone image and reference dataset is done and the wrong matching points are eliminated. Third, the geometric transformation is performed using the matching points with 2D affine transformation. Finally, the smartphone location and attitude estimation are done by PnP (Perspective-n-Point) algorithm. The location of smartphone GNSS observation is improved from the original 10.204m to a mean error of 3.575m. The attitude estimation is lower than 25 degrees from the 92.4% of the adjsuted images with an average of 5.1973 degrees.

목차

Abstract
1. Introduction
2. Image-based Localization
3. Experiment and Result
4. Conclusion
Reference

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UCI(KEPA) : I410-ECN-0101-2019-533-001289095