Towards accurate object localization with smartphones

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

19 Scopus Citations
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Author(s)

  • Longfei Shangguan
  • Zimu Zhou
  • Zheng Yang
  • Kebin Liu
  • Xibin Zhao
  • Yunhao Liu

Detail(s)

Original languageEnglish
Article number6601603
Pages (from-to)2731-2742
Journal / PublicationIEEE Transactions on Parallel and Distributed Systems
Volume25
Issue number10
Publication statusPublished - 1 Oct 2014
Externally publishedYes

Abstract

In this study, we explore the possibility of locating remote objects via cameras together with built-in inertial sensors of off-the-shelf smartphones. Our solution, CamLoc, enables a user taking two photos of an object using a smartphone at a fixed location and immediately knowing the location of the object in global coordinates, thus facilitating myriad location-based services. Such usage is user-friendly but error prone. We devise several techniques to mitigate the errors caused by cheap and noisy sensors, upgrading the positioning accuracy to an applicable level. We prototype CamLoc on Android OS, and evaluate its performance across different scenarios with various building densities. Experiment results show that our system achieves 89 percent and 72 percent physical location mapping accuracy in rural and downtown areas, respectively, which is competitive with existing solutions.

Research Area(s)

  • Object localization, photograph-based ranging, smartphone

Citation Format(s)

Towards accurate object localization with smartphones. / Shangguan, Longfei; Zhou, Zimu; Yang, Zheng; Liu, Kebin; Li, Zhenjiang; Zhao, Xibin; Liu, Yunhao.

In: IEEE Transactions on Parallel and Distributed Systems, Vol. 25, No. 10, 6601603, 01.10.2014, p. 2731-2742.

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review