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Graph-based data fusion of pedometer and WiFi measurements for mobile indoor positioning
Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing - UbiComp '14 Adjunct
◽
10.1145/2632048.2636079
◽
2014
◽
Cited By ~ 67
Author(s):
Sebastian Hilsenbeck
◽
Dmytro Bobkov
◽
Georg Schroth
◽
Robert Huitl
◽
Eckehard Steinbach
Keyword(s):
Data Fusion
◽
Indoor Positioning
Download Full-text
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References
Indoor Positioning with Pseudolite System(Sensing and Data Fusion,Session: MA1-A)
The Abstracts of the international conference on advanced mechatronics toward evolutionary fusion of IT and mechatronics ICAM
◽
10.1299/jsmeicam.2004.4.19_1
◽
2004
◽
Vol 2004.4
(0)
◽
pp. 19
Author(s):
Isamu Kitano
◽
Keiji Suzuki
◽
Masashi Toda
◽
Asako Okano
◽
Ivan Ishi
Keyword(s):
Data Fusion
◽
Indoor Positioning
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Test Platform for Data Fusion Application in Indoor Positioning
Lecture Notes in Electrical Engineering - Sensors and Microsystems
◽
10.1007/978-3-030-37558-4_50
◽
2020
◽
pp. 329-333
Author(s):
M. Carratù
◽
S. Dello Iacono
◽
M. Ferro
◽
V. Paciello
◽
A. Pietrosanto
Keyword(s):
Data Fusion
◽
Indoor Positioning
◽
Test Platform
Download Full-text
Bluetooth-Based Indoor Positioning Through ToF and RSSI Data Fusion
2018 International Conference on Indoor Positioning and Indoor Navigation (IPIN)
◽
10.1109/ipin.2018.8533853
◽
2018
◽
Cited By ~ 8
Author(s):
Davide Giovanelli
◽
Elisabetta Farella
◽
Daniele Fontanelli
◽
David Macii
Keyword(s):
Data Fusion
◽
Indoor Positioning
Download Full-text
Accurate indoor positioning and tracking based on data fusion from inertial sensors, wireless signals and image devices using Deep Learning techniques
10.20868/upm.thesis.57985
◽
2019
◽
Author(s):
Alberto Belmonte Hernández
Keyword(s):
Deep Learning
◽
Data Fusion
◽
Inertial Sensors
◽
Indoor Positioning
◽
Learning Techniques
Download Full-text
Indoor Positioning System using Synthetic Training and Data Fusion
IEEE Access
◽
10.1109/access.2021.3105188
◽
2021
◽
pp. 1-1
Author(s):
Yuri Assayag
◽
Horacio Oliveira
◽
Eduardo Souto
◽
Raimundo Barreto
◽
Richard Pazzi
Keyword(s):
Data Fusion
◽
Indoor Positioning
◽
Positioning System
◽
Indoor Positioning System
Download Full-text
Theory and Implementation of NDT Data Fusion
Research in Nondestructive Evaluation
◽
10.1080/09349849508968101
◽
1995
◽
Vol 6
(1)
◽
pp. 227-236
◽
Cited By ~ 1
Author(s):
X. E. Gros
◽
P. Strachan
◽
D. W. Lowden
Keyword(s):
Data Fusion
Download Full-text
Toward an understanding of the cognitive aspects of data fusion
PsycEXTRA Dataset
◽
10.1037/e444782005-001
◽
1999
◽
Author(s):
Daniel M. Davenport
◽
Keyword(s):
Data Fusion
Download Full-text
Indoor positioning system based on received signal strength: RSS
PsycEXTRA Dataset
◽
10.1037/e518112013-018
◽
2012
◽
Author(s):
Phongchai Nilas
◽
Burin Baitoei
Keyword(s):
Signal Strength
◽
Indoor Positioning
◽
Received Signal Strength
◽
Positioning System
◽
Indoor Positioning System
Download Full-text
Too much, too little or just right: Designing data fusion for situation awareness
PsycEXTRA Dataset
◽
10.1037/e577272012-054
◽
2004
◽
Author(s):
Geoffrey B. Duggan
◽
Simon Banbury
◽
Andrew Howes
◽
John Patrick
◽
Samuel M. Waldron
Keyword(s):
Data Fusion
◽
Situation Awareness
◽
Just Right
Download Full-text
Blind deconvolution of coloured signals based on higher-order cepstra and data fusion
IEE Proceedings F Radar and Signal Processing
◽
10.1049/ip-f-2.1993.0053
◽
1993
◽
Vol 140
(6)
◽
pp. 356
◽
Cited By ~ 9
Author(s):
A.P. Petropulu
◽
C.L. Nikias
Keyword(s):
Data Fusion
◽
Blind Deconvolution
◽
Higher Order
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