Paper Info
Title
An automatic approach to fingerprint construction of indoor localization by crowd paths
Abstract
In typical indoor position system employing location fingerprints model, received signal strength indications (RSSI) from a set of Wi-Fi access points are used as an unique fingerprint to identify a specific position. This type position systems need abundant Wi-Fi fingerprints, generally implemented by trained experts, which extends labor costs and restricts heir promotion. In his paper, a novel approach to construct intelligently Wi-Fi fingerprint database based on crowd paths triggered by lots of ordinary users holding onto smartphone is proposed. As existing drift errors in inertial measurement unit (IMU) and Wi-Fi module and the knowledge that crowd paths involve massive similar or crossing positions, we defined a concept: thin landmarks, and employ a fuzzy voter scheme to locating each thin landmark. Then rectifying the position of each sample point in every thin landmark's candidate set with corresponding thin landmark's coordinate and simultaneously utilizing particle filter (PF) algorithm to smooth each sample point on each crowd path. We implemented the approach on off-he-shelf smartphones and evaluate he performance in our campus. Experimental result indicates that the approach can availably construct Wi-Fi fingerprint database in tolerable errors.
Year
DOI
Venue
2014
10.1109/WCSP.2014.6992160
WCSP
Keywords
Field
DocType
wi-fi access points,fuzzy set theory,fingerprint identification,particle filtering (numerical methods),location fingerprints model,particle filter algorithm,indoor localization,crowd paths,smoothing methods,sample point smoothing,rssi,off-he-shelf smartphone,indoor position system,automatic fingerprint construction approach,received signal strength indication,inertial measurement unit,smart phones,wi-fi fingerprint database,indoor navigation,wi-fi module,fuzzy voter scheme,wireless lan,inertial navigation,indoor radio
Computer science,Fingerprint,Real-time computing
Conference
Citations 
PageRank 
References 
0
0.34
5
Authors
4
Name
Order
Citations
PageRank
Jun Xia164.15
Zhengyong Huang211.07
Hui Yu320018.98
Xiaoying Gan434448.16