Proceedings ArticleDOI
Semi-autonomous indoor positioning using MEMS-based inertial measurement units and building information
Gerald Glanzer,Thomas Bernoulli,Thomas Wiessflecker,Ulrich Walder +3 more
- pp 135-139
TLDR
A novel combination of methods is proposed to increase the distance between positions where absolute repositioning is still mandatory, and the prototype of a self-contained indoor positioning system is presented.Abstract:
State-of-the-art indoor positioning systems are based on short-range wireless technologies such as ultra-wideband (UWB) and wireless local area network (WLAN). Additional information produced by a low-cost inertial measurement unit (IMU) or selected from low-grade floor plans is frequently used to improve the positioning accuracy. Therefore absolute and relative positioning systems (e.g. WLAN and IMU) are typically integrated using a Kalman filter (KF) or a particle filter (PF). In this case, all the buildings have to be equipped with a large number of transmitters and receivers which may render inoperable during emergency situations and induce substantial costs both in terms of setup and maintenance. Hence, in this paper we present and assess the prototype of a self-contained indoor positioning system. Our prototype consists of a micro-electro-mechanical system- (MEMS) based IMU and a mobile computer which includes a database with characteristic building information. A novel combination of methods is proposed to increase the distance between positions where absolute repositioning is still mandatory.read more
Citations
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Journal ArticleDOI
Distributed Indoor Positioning System With Inertial Measurements and Map Matching
Arto Perttula,Helena Leppäkoski,Martti Kirkko-Jaakkola,Pavel Davidson,Jussi Collin,Jarmo Takala +5 more
TL;DR: A distributed system for personal positioning based on inertial sensors that consists of an inertial measurement unit connected to a radio carried by a person and the server connected to another radio, which leads to long operation time as power consumption also remains very low.
Journal ArticleDOI
Algorithms for automated generation of navigation models from building information models to support indoor map-matching
TL;DR: Algorithms for automated generation of three different types of navigation models, namely, centerline-based network, metric-based and grid-based Navigation models, for map-matching of indoor positioning data are presented.
Journal ArticleDOI
Analysis of Three Indoor Localization Technologies for Supporting Operations and Maintenance Field Tasks
TL;DR: In this paper, the authors describe the process of locating building components that need to be worked on during maintenance tasks, which is critical for timely repair of the component and mitigation of the damage.
Proceedings ArticleDOI
A study on indoor pedestrian localization algorithms with foot-mounted sensors
Michailas Romanovas,Vadim Goridko,Ahmed Al-Jawad,Manuel Schwaab,Martin Traechtler,Lasse Klingbeil,Yiannos Manoli +6 more
TL;DR: The work presents a foot-mounted sensor system for a combined indoor/outdoor pedestrian localization based on a zero-velocity update scheme formulated as an Extended or Unscented Kalman filter with quaternion orientation representation and employs a custom low-cost sensor unit.
Proceedings ArticleDOI
Context-adaptive algorithms to improve indoor positioning with inertial sensors
Ulrich Walder,Thomas Bernoulli +1 more
TL;DR: Two context-adaptive algorithms to improve indoor positioning with inertial sensors are presented and the achieved results are discussed.
References
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Proceedings ArticleDOI
WLAN-Based Pedestrian Tracking Using Particle Filters and Low-Cost MEMS Sensors
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