Robust, low cost indoor positioning using magnetic resonant coupling

Pirkl, Gerald; Lukowicz, Paul

doi:10.1145/2370216.2370281

Cited by 48 publications

(28 citation statements)

References 20 publications

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“…However, indoor GPS is very expensive, and its measurements need line of sight, which makes it less practical in difficult indoor construction environments. In addition to the above popular indoor positioning sensors, the 2.4 GHz phase offset technique [15], modulated magnetic signals [16], 24-GHz radar [17], light detection and ranging (LiDAR) [18], and foot-mounted IMU [19] are proposed for the purpose. These systems participated in the Microsoft Indoor Localization Competition [20] in 2017, which judged that only LiDAR and UWB-based systems could achieve better than metre-level positioning accuracy; the LiDAR-based system can achieve centimetre-level positioning accuracy, and the UWB-based system can achieve decimetre-level positioning accuracy [20].…”

Section: Introductionmentioning

confidence: 99%

An Autonomous Ultra-Wide Band-Based Attitude and Position Determination Technique for Indoor Mobile Laser Scanning

Lau

Quan

Wan

et al. 2018

IJGI

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Mobile laser scanning (MLS) has been widely used in three-dimensional (3D) city modelling data collection, such as Google cars for Google Map/Earth. Building Information Modelling (BIM) has recently emerged and become prominent. 3D models of buildings are essential for BIM. Static laser scanning is usually used to generate 3D models for BIM, but this method is inefficient if a building is very large, or it has many turns and narrow corridors. This paper proposes using MLS for BIM 3D data collection. The positions and attitudes of the mobile laser scanner are important for the correct georeferencing of the 3D models. This paper proposes using three high-precision ultra-wide band (UWB) tags to determine the positions and attitudes of the mobile laser scanner. The accuracy of UWB-based MLS 3D models is assessed by comparing the coordinates of target points, as measured by static laser scanning and a total station survey.

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Section: Introductionmentioning

confidence: 99%

An Autonomous Ultra-Wide Band-Based Attitude and Position Determination Technique for Indoor Mobile Laser Scanning

Lau

Quan

Wan

et al. 2018

IJGI

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“…MI 3-D position and orientation estimation using triaxial coils was first proposed by Raab et al in their pioneering paper [41]. For more details on MI-based position and orientation estimation, see also [11], [12], [14], [42], and [43]. Our previous work [11] focused on MI indoor localization with additional inertial sensors.…”

Section: Related Workmentioning

confidence: 99%

Underground Incrementally Deployed Magneto-Inductive 3-D Positioning Network

Abrudan

Xiao

Markham

et al. 2016

IEEE Trans. Geosci. Remote Sensing

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Underground mines are characterized by a network of intersecting tunnels and sharp turns, an environment which is particularly challenging for radiofrequency based positioning systems due to extreme multipath, non-line-of-sight propagation, and poor anchor geometry. Such systems typically require a dense grid of devices to enable 3-D positioning. Moreover, the precise position of each anchor node needs to be precisely surveyed, a particularly challenging task in underground environments. Magnetoinductive (MI) positioning, which provides 3-D position and orientation from a single transmitter and penetrates thick layers of soil and rock without loss, is a more promising approach, but so far has only been investigated in simple point-to-point contexts. In this paper, we develop a novel MI positioning approach to cover an extended underground 3-D space with unknown geometry using a rapidly deployable anchor network. The key to our approach is that the position of only a single anchor needs to be accurately surveyed-the positions of all secondary anchors are determined using an iterative refinement process using measurements obtained from receivers within the network. This avoids the particularly challenging and time-intensive task in an underground environment of accurately surveying the positions of all of the transmitters. We also demonstrate how measurements obtained from multiple transmitters can be fused to improve localization accuracy. We validate the proposed approach in a man-made cave and show that, with a portable system that took 5 min to deploy, we were able to provide accurate through-the-earth location capability to nodes placed along a suite of tunnels. IndexTerms-Localization, magneto-inductive (MI), underground.

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“…Indoor positioning has been a very active area of research in ubiquitous and pervasive computing. Much effort has been spent on developing indoor localization technologies: from the original Cricket system [25] that used both radio and ultrasonic signals, to more recent systems using power lines [23], Ultra-Wide Band signals [1], digital cameras and SLAMs [18], CDMA mobile phone fingerprinting [28], resonant magnetic coupling [24], etc.…”

Section: Typical Mobility and Interaction Analysesmentioning

confidence: 99%

Souk : Spatial Observation of Human Kinetics

et al. 2016

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Simulating human-centered pervasive systems requires accurate assumptions on the behavior of human groups. Recent models consider this behavior as a combination of both social and spatial factors. Yet, establishing accurate traces of human groups is difficult: current techniques capture either positions, or contacts, with a limited accuracy.In this paper we introduce a new technique to capture such behaviors. The interest of this approach lies in the unprecedented accuracy at which both positions and orientations of humans, even gathered in a crowd, are captured. The open-source software pipeline we developed to exploit captured data allows extraction of several metrics on movement and social contacts, and permits study of their respective interrelationship. From the mobility to the topological connectivity, this framework offers a layered approach that can be tailored, allowing to compare and reason about models and traces.We demonstrate the accuracy and validity of our approach on social events and calibration runs in which we captured the motions of humans. In particular, we introduce an open-access trace of 50 individuals and compare it against random waypoint models that have the same global characteristics. Our fine-grain analyses, that take into account social interactions between users, show that the random way point model does not provide accurate predictions for socially-induced motion; to model human kinetics, new group-and interaction-based models should be developed. From the computer science point of view, these models are required to fully exploit the power of human-centered mobile computing, crucial for ubiquitous computing, and referred to as Short Range Communication Systems, Mobile Opportunistic Networking, or Mobile Networking in Proximity.

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Robust, low cost indoor positioning using magnetic resonant coupling

Cited by 48 publications

References 20 publications

An Autonomous Ultra-Wide Band-Based Attitude and Position Determination Technique for Indoor Mobile Laser Scanning

An Autonomous Ultra-Wide Band-Based Attitude and Position Determination Technique for Indoor Mobile Laser Scanning

Underground Incrementally Deployed Magneto-Inductive 3-D Positioning Network

Souk : Spatial Observation of Human Kinetics

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