Use of a new pedometric dead reckoning module in GPS denied environments

Judd, Thomas; Vu, Toan H.

doi:10.1109/plans.2008.4570048

Cited by 17 publications

(10 citation statements)

References 1 publication

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“…This kind of model is the simplest one that assumes stride length is a constant (Judd 1997) or a quasi-constant (Godha et al 2006, Mezentsev 2005). The constant is pre-defined or online obtained from GPS.…”

Section: Speed Estimation Methods Based On Accelerometersmentioning

confidence: 99%

Comparison of EMG-based and Accelerometer-based Speed Estimation Methods in Pedestrian Dead Reckoning

Chen

et al. 2011

J. Navigation

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In low-cost self-contained pedestrian navigation systems, traditional Pedestrian Dead Reckoning (PDR) solutions utilize accelerometers to derive the speed as well as the distance travelled, and obtain the walking heading from magnetic compasses or gyros. However, these measurements are sensitive to instrument errors and disturbances from ambient environment. To be totally different from these signals in nature, the electromyography (EMG) signal is a typical kind of biomedical signal that measures electrical potentials generated by muscle contractions from the human body. This kind of signal would reflect muscle activities during human locomotion, so that it can not only be used for speed estimation, but also disclose the azimuth information from the contractions of lumbar muscles when changing the direction of walking. Therefore, investigating how to utilize the EMG signal for PDR is interesting and promising. In this paper, a novel EMG-based speed estimation method is presented, including setup of the EMG equipment, pre-processing procedure, stride detection and stride length estimation. Furthermore, this method suggested is compared with the traditional one based on accelerometers by means of several field tests. The results demonstrate that the EMG-based method is effective and its performance in PDR can be comparable to that of the accelerometer-based method. K E Y

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Section: Speed Estimation Methods Based On Accelerometersmentioning

confidence: 99%

Comparison of EMG-based and Accelerometer-based Speed Estimation Methods in Pedestrian Dead Reckoning

Chen

et al. 2011

J. Navigation

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“…Research has also been done on indoor positioning using combinations of different methods. Judd and Vu [15] use a combination of GPS and Pedestrian Dead Reckoning (PDR). In particular they present a hardware module for PDR that is resistant against compass errors.…”

Section: Related Workmentioning

confidence: 99%

Localization in an Industrial Environment: A Case Study on the Difficulties for Positioning in a Harsh Environment

Hölzl

Neumeier

Ostermayer

2015

International Journal of Distributed Sensor Networks

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While indoor localization has become a highly growing application domain in the last few years, it is hardly investigated in industrial environments. Interferences of magnetic fields, shadowing, and multipath propagation discourage positioning system vendors from porting their techniques to these harsh environments. However, the actual influence of these interferences on the positioning accuracy and the differences between an industrial and a nonindustrial environment have never been evaluated. This paper analyzes the actual differences for a positioning technique that is based on Wi-Fi fingerprinting, map matching, dead reckoning, filtering, and a plausibility determination. An investigation of the Wi-Fi signal strengths and compass sensor values in an industrial and a nonindustrial environment thereby showed that the differences between them are significant. In fact, it shows that more interferences and shadowing in the industrial environment resulted in even more accurate positioning.

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“…61, No. 4 Shockley and Raquet: Nav of Ground Vehicles Using Mag Field Variations and expresses the uniqueness of the peak. However, too high a ratio will reduce matches to only the very unique.…”

Section: Maximum Likelihood Ratio (Mlr)mentioning

confidence: 99%

“…Judd and Vu, while developing an indoor pedestrian navigation solution, noted interesting correlation in three-axis magnetometer measurements in the indoor environment [4]. While attempting to correct heading estimation indoors, the magnetic field along the route exhibited distinct "fingerprints" at unique locations along the route [4]. The resulting fingerprints allowed correlation of previous magnetic field data with measurements during a new route to determine if a specific location was reached.…”

Section: Introductionmentioning

confidence: 99%

“…Environments around or in man‐made structures have greater potential for strong variations to occur. Judd and Vu, while developing an indoor pedestrian navigation solution, noted interesting correlation in three‐axis magnetometer measurements in the indoor environment . While attempting to correct heading estimation indoors, the magnetic field along the route exhibited distinct “fingerprints” at unique locations along the route .…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Navigation of Ground Vehicles Using Magnetic Field Variations

Shockley

Raquet

2014

J Inst Navig

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Inexpensive three‐axis magnetometers can sense not just heading, but also variations in Earth's magnetic field. Combined with a magnetic field map, this information can be used for positioning. Pairing the three‐axis magnetometer measurements with position information from a ground vehicle creates a magnetic field map containing the variation and localized perturbations in Earth's magnetic field as a function of position. A magnetometer and the magnetic field map can then be used for navigation. This paper describes how magnetometer measurements can be used to calculate a position update using three different likelihood functions, and it also demonstrates direct incorporation of magnetic field measurements into a map‐matching particle filter. These algorithms were tested in three different vehicles under a variety of road conditions and demonstrated meter‐level positioning when local magnetic field features are available. Overall the information is sufficient for road level navigation when used as the sole source of navigation information. Published 2014. This article is a U.S. Government work and is in the public domain in the USA.

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Use of a new pedometric dead reckoning module in GPS denied environments

Cited by 17 publications

References 1 publication

Comparison of EMG-based and Accelerometer-based Speed Estimation Methods in Pedestrian Dead Reckoning

Comparison of EMG-based and Accelerometer-based Speed Estimation Methods in Pedestrian Dead Reckoning

Localization in an Industrial Environment: A Case Study on the Difficulties for Positioning in a Harsh Environment

Navigation of Ground Vehicles Using Magnetic Field Variations

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