Using Acoustic Signal and Image to Achieve Accurate Indoor Localization
School of Computer Science & Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China
School of Computer Engineering, Chengdu Technological University, Chengdu 611731, China
Author to whom correspondence should be addressed.
Received: 20 June 2018 / Revised: 31 July 2018 / Accepted: 31 July 2018 / Published: 6 August 2018
Location information plays a key role in pervasive computing and application, especially indoor location-based service, even though a mass of systems have been proposed, an accurate and practical indoor localization system remains unsettled. To tackle this issue, in this paper, we present a new localization scheme, SITE
, combining acoustic S
ignals and I
mages to achieve accurate and robust indoor locaT
rvice. Relying on a pre-deployed platform of acoustic sources with different frequencies, using proactively generated Doppler effect signals, SITE
could track relative directions between the phone and the sources. Given m
) relative directions, SITE
can use the angle differences to compute a set of locations corresponding to different subsets of sources. Then, based on a key observation—while the simultaneously estimated locations using different sets of acoustic anchors are within a small circle, the results converge to a point near the true location—SITE
proposes a decision scheme that confirms whether these locations satisfy the demand of localization accuracy and can be used to search the user’s location. If not, SITE
utilizes VSFM(Visual Structure from Motion) technique to achieve a set of relative locations using some images captured by the phone’s camera. By exploiting the synergy between the set of relative locations and the set of initial locations computed by relative directions, an optimal transformation relationship is obtained and applied to refine the initial calculated results. The refined result will be regarded as the user’s location. In the evaluation, we implemented a prototype and deployed a real platform of acoustic sources in different scenarios. Experimental results show that SITE
has excellent performance of localization accuracy, robustness and feasibility in practical application.
This is an open access article distributed under the Creative Commons Attribution License
which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).
Share & Cite This Article
MDPI and ACS Style
Xi, R.; Liu, D.; Hou, M.; Li, Y.; Li, J. Using Acoustic Signal and Image to Achieve Accurate Indoor Localization. Sensors 2018, 18, 2566.
Xi R, Liu D, Hou M, Li Y, Li J. Using Acoustic Signal and Image to Achieve Accurate Indoor Localization. Sensors. 2018; 18(8):2566.
Xi, Rui; Liu, Daibo; Hou, Mengshu; Li, Yujun; Li, Jun. 2018. "Using Acoustic Signal and Image to Achieve Accurate Indoor Localization." Sensors 18, no. 8: 2566.
Show more citation formats
Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.
[Return to top]
For more information on the journal statistics, click here
Multiple requests from the same IP address are counted as one view.