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ROBUST HEIGHT ESTIMATION USING THE COMBINATION OF BAROMETER AND ACCELEROMETER DATA

Pavol Kajánek

First published: 2019-06-20https://doi.org/10.5593/sgem2019/2.2/s09.037View metrics

Abstract

The paper deals with height determination in indoor environment using inertial sensors (accelerometers, gyroscopes) and barometer built in a smartphone, which is very important to detect upstairs and downstairs motion of the users. The algorithm proposed uses the barometric formula for height determination and the relationship between the decreasing barometric pressure and increasing height. The main advantage of the use of barometer is the long-term accuracy, because the algorithm is not recursive. The problem of the barometric measurement lies in the local disturbances of barometric pressure which is caused by temperature changes (increasing temperature cause increase of the pressure) and instable air mass (air-conditioning cause inhomogeneous air mass). These local disturbances of the barometric pressure lead to increase of errors in height determination. Reduce the errors caused by the temperature change, accelerometer data using step detection with average step height (without integration process), are used. Double integration of the acceleration measured is used only in specific situations (only in case when elevator is used during the movement). The benefit of the use of combined processing of barometer and accelerometer data against the use of only barometer or accelerometer data is analyzed on the base of experimental measurements.

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Publication details

Title
ROBUST HEIGHT ESTIMATION USING THE COMBINATION OF BAROMETER AND ACCELEROMETER DATA
Authors
Pavol Kajánek
Proceedings
SGEM International Multidisciplinary Scientific GeoConference EXPO Proceedings; 19th International Multidisciplinary Scientific GeoConference SGEM2019, Informatics, Geoinformatics and Remote Sensing
Publisher
STEF92 Technology
Year
2019
Pages
301-308
SWS Citekey
Kajanek20199301308
ISSN
1314-2704
ISBN
978-619-7408-80-5
Language
en
Publication type
Conference Paper
Keywords
References5
  1. LI, Binghao; HARVEY, Bruce; GALLAGHER, Thomas. Using barometers to determine the height for indoor positioning. In: International Conference on Indoor Positioning and Indoor Navigation. IEEE, 2013. p. 1-7.

  2. XIA, Hao, et al. Using multiple barometers to detect the floor location of smart phones with built-in barometric sensors for indoor positioning. Sensors, 2015, vol. 15.4: p. 7857-7877.

  3. BOLLMEYER, Christian, et al. Precise indoor altitude estimation based on differential barometric sensing for wireless medical applications. In: 2013 IEEE International Conference on Body Sensor Networks. IEEE, 2013. p. 1-6.

  4. NOURELDIN, Aboelmagd, et al. Fundamentals of inertial navigation, satellite-based positioning and their integration. Springer Science & Business Media, 2012.

  5. ILKOVIČOVÁ, Ľubica; KAJÁNEK, Pavol; KOPÁČIK, Alojz. Pedestrian Indoor Positioning and Tracking using Smartphone Sensors, Step Detection and Map Matching Algorithm. Geodetski list, 2016, vol. 70.1, p. 1-24.

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Number of times cited according to Crossref: 1

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