Terrain navigation in the magnetic landscape: Particle filtering for indoor positioning

Arno Solin; Simo Särkkä; Juho Kannala; Esa Rahtu

doi:10.1109/EURONAV.2016.7530559

Terrain navigation in the magnetic landscape: Particle filtering for indoor positioning

Arno Solin, Simo Särkkä, Juho Kannala, Esa Rahtu

IndoorAtlas Ltd.

Tutkimustuotos: Artikkeli kirjassa/konferenssijulkaisussa › Conference article in proceedings › Scientific › vertaisarvioitu

37 Sitaatiot (Scopus)

Abstrakti

Variations in the ambient magnetic field can be used as features in indoor positioning and navigation. We describe a technique for map matching where the pedestrian movement is matched to a map of the magnetic landscape. The map matching algorithm is based on a particle filter, a recursive Monte Carlo method, and follows the classical terrain matching framework used in aircraft positioning and navigation. A recent probabilistic Gaussian process regression based method for modeling the ambient magnetic field is employed in the framework. The feasibility of this terrain matching approach is demonstrated in a simple real-life indoor positioning example, where both the mapping and positioning is done using a smartphone device.

Alkuperäiskieli	Englanti
Otsikko	2016 European Navigation Conference, ENC 2016
Kustantaja	IEEE
Sivumäärä	9
ISBN (elektroninen)	9781479989157
DOI - pysyväislinkit	https://doi.org/10.1109/EURONAV.2016.7530559
Tila	Julkaistu - 2 elok. 2016
OKM-julkaisutyyppi	A4 Artikkeli konferenssijulkaisussa
Tapahtuma	European Navigation Conference - Helsinki, Suomi Kesto: 30 toukok. 2016 → 2 kesäk. 2016 Konferenssinumero: 24

Conference

Conference	European Navigation Conference
Lyhennettä	ENC
Maa/Alue	Suomi
Kaupunki	Helsinki
Ajanjakso	30/05/2016 → 02/06/2016

Pääsy asiakirjaan

10.1109/EURONAV.2016.7530559

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@inproceedings{435ee8d8d19d4d5990f59c394a7f6364,

title = "Terrain navigation in the magnetic landscape: Particle filtering for indoor positioning",

abstract = "Variations in the ambient magnetic field can be used as features in indoor positioning and navigation. We describe a technique for map matching where the pedestrian movement is matched to a map of the magnetic landscape. The map matching algorithm is based on a particle filter, a recursive Monte Carlo method, and follows the classical terrain matching framework used in aircraft positioning and navigation. A recent probabilistic Gaussian process regression based method for modeling the ambient magnetic field is employed in the framework. The feasibility of this terrain matching approach is demonstrated in a simple real-life indoor positioning example, where both the mapping and positioning is done using a smartphone device.",

author = "Arno Solin and Simo S{\"a}rkk{\"a} and Juho Kannala and Esa Rahtu",

year = "2016",

month = aug,

day = "2",

doi = "10.1109/EURONAV.2016.7530559",

language = "English",

booktitle = "2016 European Navigation Conference, ENC 2016",

publisher = "IEEE",

address = "United States",

note = "European Navigation Conference, ENC ; Conference date: 30-05-2016 Through 02-06-2016",

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TY - GEN

T1 - Terrain navigation in the magnetic landscape

T2 - European Navigation Conference

AU - Solin, Arno

AU - Särkkä, Simo

AU - Kannala, Juho

AU - Rahtu, Esa

N1 - Conference code: 24

PY - 2016/8/2

Y1 - 2016/8/2

N2 - Variations in the ambient magnetic field can be used as features in indoor positioning and navigation. We describe a technique for map matching where the pedestrian movement is matched to a map of the magnetic landscape. The map matching algorithm is based on a particle filter, a recursive Monte Carlo method, and follows the classical terrain matching framework used in aircraft positioning and navigation. A recent probabilistic Gaussian process regression based method for modeling the ambient magnetic field is employed in the framework. The feasibility of this terrain matching approach is demonstrated in a simple real-life indoor positioning example, where both the mapping and positioning is done using a smartphone device.

AB - Variations in the ambient magnetic field can be used as features in indoor positioning and navigation. We describe a technique for map matching where the pedestrian movement is matched to a map of the magnetic landscape. The map matching algorithm is based on a particle filter, a recursive Monte Carlo method, and follows the classical terrain matching framework used in aircraft positioning and navigation. A recent probabilistic Gaussian process regression based method for modeling the ambient magnetic field is employed in the framework. The feasibility of this terrain matching approach is demonstrated in a simple real-life indoor positioning example, where both the mapping and positioning is done using a smartphone device.

UR - http://www.scopus.com/inward/record.url?scp=84992053139&partnerID=8YFLogxK

U2 - 10.1109/EURONAV.2016.7530559

DO - 10.1109/EURONAV.2016.7530559

M3 - Conference article in proceedings

AN - SCOPUS:84992053139

BT - 2016 European Navigation Conference, ENC 2016

PB - IEEE

Y2 - 30 May 2016 through 2 June 2016

ER -

Terrain navigation in the magnetic landscape: Particle filtering for indoor positioning

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Conference

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