Paper Info
Title
Hybrid RFID system-based pedestrian localization: A case study.
Abstract
Localization systems using RFID - especially passive RFID - are coming increasingly under the spotlight. Passive RFID has a relatively small sensing range compared to other radio-frequency-based localization techniques. Therefore in practice the deployed tags may not cover the whole scene of interest. Additionally, in the area of pedestrian localization, the unpredictable movement of pedestrians makes a complete RFID tag coverage extremely difficult. This paper introduces a hybrid RFID localization system used for indoor pedestrians to overcome the coverage shortfall associated with passive RFID tags. Two extra sources are used to assist the RFID system: local INS sensors and ZigBee nodes. A particle filter serves as a fusion framework. A test scenario was built with 220 RFID tags and 8 ZigBee nodes deployed in a museum. Different algorithms were evaluated in this deployment. The results show that the hybrid approach produces robust localization even with a low number of tags.
Year
DOI
Venue
2013
10.1109/WPNC.2013.6533296
WPNC
Keywords
Field
DocType
Zigbee,particle filtering (numerical methods),pedestrians,radiofrequency identification,RFID tag coverage,ZigBee nodes,case study,hybrid RFID localization system,hybrid RFID system-based pedestrian localization,indoor pedestrians,local INS sensors,particle filter,passive RFID tags,pedestrian localization,radio-frequency-based localization techniques,robust localization,RFID,dead reckoning,fingerprinting,hybrid localization,particle filter
Pedestrian,Software deployment,Computer science,Particle filter,Electronic engineering,Scenario testing,RFID Localization
Conference
ISSN
Citations 
PageRank 
2164-9758
3
0.41
References 
Authors
8
4
Name
Order
Citations
PageRank
Haowei Wang130.41
Georg Bauer240.79
Fabian Kirsch3494.37
Martin Vossiek47014.35