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SmartScanner: Know more in walls with your smartphone!
Zou, Yongpan1,2; Wang, Guanhua3; Wu, Kaishun1,2; Ni, Lionel M.4
2016-11-01
Source PublicationIEEE Transactions on Mobile Computing
ISSN15361233
Volume15Issue:11Pages:2865-2877
Abstract

Seeing through walls and knowing clearly what exist inside just like a superman are not only fantastic wishes for humans, but also of much practical significance. For example, you would like to know whether there are pipes, or rebars inside a wall before drilling into it. Moreover, knowing how pipes are configured in a wall before attempting to fix defects would definitely prevent unnecessary damages. Existing methods that intend to address this issue are either costly due to the use of high-end technology, or restrictive for reasons of some strong assumptions. However, in this paper, we present a novel system, SmartScanner, which is based on off-the-shelf sensors embedded in a smartphone. SmartScanner makes full use of in-built sensors, namely, the accelerometer, gyroscope, and magnetometer to achieve this goal inexpensively and conveniently. Specifically, by combining these sensors, we are able to clearly distinguish certain objects inside a wall and map out the layout of an in-wall pipeline system.We implement SmartScanner on two smartphone platforms, namely iPhone 4 and Xiaomi Mi2S, and conduct extensive experiments to evaluate its performance. Experiments show that SmartScanner can achieve high accuracies in distinguishing objects in various scenarios. Meanwhile, as for layout mapping, 90 percent of length errors are limited to several centimeters for horizontal and vertical pipeline segments, respectively. Also, SmartScanner can achieve centimeter-level position errors of turning points in horizontal and vertical directions in the testbed. © 2015 IEEE.

DOI10.1109/TMC.2015.2508811
Language英語English
WOS IDWOS:000385717200016
The Source to ArticleEngineering Village
Scopus ID2-s2.0-84990997209
Fulltext Access
Citation statistics
Document TypeJournal article
CollectionUniversity of Macau
Affiliation1.College of Computer Science and Software Engineering, Shenzhen University, China;
2.CSE Department, HKUST, Hong Kong;
3.EECS Department, UC Berkeley, Berkeley; CA; 94720, United States;
4.University of Macau, China
Recommended Citation
GB/T 7714
Zou, Yongpan,Wang, Guanhua,Wu, Kaishun,et al. SmartScanner: Know more in walls with your smartphone![J]. IEEE Transactions on Mobile Computing, 2016, 15(11), 2865-2877.
APA Zou, Yongpan., Wang, Guanhua., Wu, Kaishun., & Ni, Lionel M. (2016). SmartScanner: Know more in walls with your smartphone!. IEEE Transactions on Mobile Computing, 15(11), 2865-2877.
MLA Zou, Yongpan,et al."SmartScanner: Know more in walls with your smartphone!".IEEE Transactions on Mobile Computing 15.11(2016):2865-2877.
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