2012
DOI: 10.1080/17489725.2012.687779
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Improved heuristic drift elimination with magnetically-aided dominant directions (MiHDE) for pedestrian navigation in complex buildings

Abstract: Abstract-The main problem of Pedestrian Dead-Reckoning (PDR) using only a body-attached IMU is the accumulation of heading errors. The heading provided by magnetometers in indoor buildings is in general not reliable and therefore it is commonly not used. Recently, a new method was proposed called Heuristic Drift Elimination (HDE) that minimizes the heading error when navigating in buildings. It assumes that the majority of buildings have their corridors parallel to each other, or they intersect at right angles… Show more

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Cited by 36 publications
(14 citation statements)
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“…A heuristic drift elimination system, although only for some special shapes of indoor pedestrian positioning, gradually adjusts the direction to the closest dominant directions. In [21], an improved heuristic drift elimination with magnetically-assisted dominant headings was used to reduce the direction drift. Considering the interference of the complex indoor environment to magnetic field readings, many scholars do not recommend the use of magnetic field correction direction.…”
Section: Related Workmentioning
confidence: 99%
“…A heuristic drift elimination system, although only for some special shapes of indoor pedestrian positioning, gradually adjusts the direction to the closest dominant directions. In [21], an improved heuristic drift elimination with magnetically-assisted dominant headings was used to reduce the direction drift. Considering the interference of the complex indoor environment to magnetic field readings, many scholars do not recommend the use of magnetic field correction direction.…”
Section: Related Workmentioning
confidence: 99%
“…The main research in this area has taken into consideration road networks [13] and section shapes [14]. In particular, the magnetic field information [15] and direction information [16] of the indoor building are analyzed and extracted to reduce the PDR error and match the pedestrian trajectory. Moreover, topology information, including the relationship between road networks, was considered in [17].…”
Section: Related Workmentioning
confidence: 99%
“…Previous versions (e.g. Finlay et al 2010;Thébault et al 2015) are widely used in many disciplines of Earth sciences and applied for navigational purposes (Jiménez et al 2012;Canciani & Raquet 2016) and in satellite orientation (Slavinskis et al 2014).applied sciences.…”
Section: Introductionmentioning
confidence: 99%