Towards accurate object localization with smartphones
Publication Type
Journal Article
Publication Date
9-2013
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.
Discipline
Software Engineering
Research Areas
Software and Cyber-Physical Systems
Publication
IEEE Transactions on Parallel and Distributed Systems
Volume
25
Issue
10
First Page
2731
Last Page
2742
ISSN
1045-9219
Identifier
10.1109/TPDS.2013.236
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Citation
SHANGGUAN, Longfei; ZHOU, Zimu; YANG, Zheng; LIU, Kebin; LI, Zhenjiang; and LIU, Yunhao.
Towards accurate object localization with smartphones. (2013). IEEE Transactions on Parallel and Distributed Systems. 25, (10), 2731-2742.
Available at: https://ink.library.smu.edu.sg/sis_research/4607
Additional URL
https://doi.org/10.1109/TPDS.2013.236