Paper Info
Title
A Crowd-Sourcing Indoor Localization Algorithm via Optical Camera on a Smartphone Assisted by Wi-Fi Fingerprint RSSI.
Abstract
Indoor positioning based on existing Wi-Fi fingerprints is becoming more and more common. Unfortunately, the Wi-Fi fingerprint is susceptible to multiple path interferences, signal attenuation, and environmental changes, which leads to low accuracy. Meanwhile, with the recent advances in charge-coupled device (CCD) technologies and the processing speed of smartphones, indoor positioning using the optical camera on a smartphone has become an attractive research topic; however, the major challenge is its high computational complexity; as a result, real-time positioning cannot be achieved. In this paper we introduce a crowd-sourcing indoor localization algorithm via an optical camera and orientation sensor on a smartphone to address these issues. First, we use Wi-Fi fingerprint based on the K Weighted Nearest Neighbor (KWNN) algorithm to make a coarse estimation. Second, we adopt a mean-weighted exponent algorithm to fuse optical image features and orientation sensor data as well as KWNN in the smartphone to refine the result. Furthermore, a crowd-sourcing approach is utilized to update and supplement the positioning database. We perform several experiments comparing our approach with other positioning algorithms on a common smartphone to evaluate the performance of the proposed sensor-calibrated algorithm, and the results demonstrate that the proposed algorithm could significantly improve accuracy, stability, and applicability of positioning.
Year
DOI
Venue
2016
10.3390/s16030410
SENSORS
Keywords
Field
DocType
orientation sensor,optical camera,crowd-sourcing,smartphone,fingerprint localization,image processing
k-nearest neighbors algorithm,Hybrid positioning system,Optical image,Algorithm,Image processing,Fingerprint,Engineering,Fuse (electrical),Computational complexity theory
Journal
Volume
Issue
ISSN
16
3.0
1424-8220
Citations 
PageRank 
References 
5
0.53
8
Authors
5
Name
Order
Citations
PageRank
Wei Chen18612.45
Wang Weiping233563.84
Qun Li3203.22
Qiang Chang4181.46
Hongtao Hou561.23