DocumentCode :
1390
Title :
A Survey of Indoor Inertial Positioning Systems for Pedestrians
Author :
Harle, R.
Author_Institution :
Dept. of Comput. Sci., Univ. of Cambridge, Cambridge, UK
Volume :
15
Issue :
3
fYear :
2013
fDate :
Third Quarter 2013
Firstpage :
1281
Lastpage :
1293
Abstract :
With the continual miniaturisation of sensors and processing nodes, Pedestrian Dead Reckoning (PDR) systems are becoming feasible options for indoor tracking. These use inertial and other sensors, often combined with domain-specific knowledge about walking, to track user movements. There is currently a wealth of relevant literature spread across different research communities. In this survey, a taxonomy of modern PDRs is developed and used to contextualise the contributions from different areas. Techniques for step detection, characterisation, inertial navigation and step-and-heading-based dead-reckoning are reviewed and compared. Techniques that incorporate building maps through particle filters are analysed, along with hybrid systems that use absolute position fixes to correct dead-reckoning output. In addition, consideration is given to the possibility of using smartphones as PDR sensing devices. The survey concludes that PDR techniques alone can offer good short- to medium- term tracking under certain circumstances, but that regular absolute position fixes from partner systems will be needed to ensure long-term operation and to cope with unexpected behaviours. It concludes by identifying a detailed list of challenges for PDR researchers.
Keywords :
inertial navigation; particle filtering (numerical methods); position control; sensors; smart phones; target tracking; PDR sensing devices; PDR systems; Pedestrian Dead Reckoning; absolute position fixes; domain-specific knowledge; hybrid systems; indoor inertial positioning systems; indoor tracking; particle filters; smartphones; taxonomy; Dead reckoning; Legged locomotion; Navigation; Sensor systems; Wearable computers; Dead Reckoning; Inertial Navigation; Particle Filters; Wearable Computers;
fLanguage :
English
Journal_Title :
Communications Surveys & Tutorials, IEEE
Publisher :
ieee
ISSN :
1553-877X
Type :
jour
DOI :
10.1109/SURV.2012.121912.00075
Filename :
6407455
Link To Document :
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