Paper Info
Title
Accurate Indoor Localization With Crowd Sensing
Abstract
Indoor localization is an important primitive that can enable many ubiquitous computing applications. This paper improves the scheme of landmark and inertial navigation through crowd sensing to address reliable and accurate indoor localization. The location of landmark can calibrate the location of user and inertial navigation can optimize the location of landmark in turn. In this work, we define the landmark as certain characteristic structure with Beacon. To tackle the challenges of misjudgment of landmarks and variability in user walking profiles, we have developed algorithms for reliable detection of landmarks and personalization of step length with the aid of crowd sensing. We have built an indoor localization system integrating these modules and an indoor floor map, which can be further improved with more users using our system. We demonstrate for the first time a meter-level indoor localization system that is self-improving, user adaptive, and easy to deploy. Extensive experiments on users with smartphone devices, with over 37 subjects walking over an aggregate distance of over 20 kilometers were carried out. Evaluation results show that our system can achieve a mean accuracy of 2m initially and 1m with the calibration of landmarks in a 39m x 21m testing area.
Year
DOI
Venue
2016
10.1109/ICC.2016.7510872
2016 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC)
Keywords
Field
DocType
Crowd Sensing, Localization, Landmark, Inertial Navigation
Inertial navigation system,Computer vision,Computer science,Accelerometer,Real-time computing,Elevator,Localization system,Artificial intelligence,Ubiquitous computing,Landmark,Personalization
Conference
ISSN
Citations 
PageRank 
1550-3607
1
0.36
References 
Authors
6
5
Name
Order
Citations
PageRank
Yingying Guo111.38
Sun, Y.222.78
Yatao Li310.36
Tin Yu Wu45212.06
Mohammad S. Obaidat52190315.70