Updating Smartphone’s Exterior Orientation Parameters by Image-based Localization Method Using Geo-tagged Image Datasets and 3D Point Cloud as References

Ying Hsuann Wang, Seunghwan Hong, Junsu Bae, Yoonjo Choi, Hong Gyoo Sohn

Research output: Contribution to journalArticle

Abstract

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.

Original languageEnglish
Pages (from-to)331-341
Number of pages11
JournalJournal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
Volume37
Issue number5
DOIs
Publication statusPublished - 2019

All Science Journal Classification (ASJC) codes

  • Earth and Planetary Sciences(all)

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