Recursive Gaussian Processes and Fingerprinting for Indoor Navigation

Tales Imbiriba; Peng Wu; Gerald Lamountain; Deniz Erdogmus; Pau Closas

doi:10.1109/PLANS46316.2020.9110187

Recursive Gaussian Processes and Fingerprinting for Indoor Navigation

Tales Imbiriba
, Peng Wu
, Gerald Lamountain
, Deniz Erdogmus
, Pau Closas

Computer Science

College of Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Original language	English
Title of host publication	2020 IEEE/ION Position, Location and Navigation Symposium, PLANS 2020
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	933-940
Number of pages	8
ISBN (Electronic)	9781728102443
DOIs	https://doi.org/10.1109/PLANS46316.2020.9110187
State	Published - Apr 2020
Event	2020 IEEE/ION Position, Location and Navigation Symposium, PLANS 2020 - Portland, United States Duration: Apr 20 2020 → Apr 23 2020

Publication series

Name	2020 IEEE/ION Position, Location and Navigation Symposium, PLANS 2020

Conference

Conference	2020 IEEE/ION Position, Location and Navigation Symposium, PLANS 2020
Country/Territory	United States
City	Portland
Period	4/20/20 → 4/23/20

ASJC Scopus Subject Areas

Signal Processing
Aerospace Engineering
Control and Optimization
Instrumentation

Keywords

fingerprinting
Gaussian Processes
geospatial sensing
Indoor navigation
uncertainty propagation

Access to Document

10.1109/PLANS46316.2020.9110187

Cite this

Imbiriba, T., Wu, P., Lamountain, G., Erdogmus, D., & Closas, P. (2020). Recursive Gaussian Processes and Fingerprinting for Indoor Navigation. In 2020 IEEE/ION Position, Location and Navigation Symposium, PLANS 2020 (pp. 933-940). Article 9110187 (2020 IEEE/ION Position, Location and Navigation Symposium, PLANS 2020). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/PLANS46316.2020.9110187

Recursive Gaussian Processes and Fingerprinting for Indoor Navigation. / Imbiriba, Tales; Wu, Peng; Lamountain, Gerald et al.
2020 IEEE/ION Position, Location and Navigation Symposium, PLANS 2020. Institute of Electrical and Electronics Engineers Inc., 2020. p. 933-940 9110187 (2020 IEEE/ION Position, Location and Navigation Symposium, PLANS 2020).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Imbiriba, T, Wu, P, Lamountain, G, Erdogmus, D & Closas, P 2020, Recursive Gaussian Processes and Fingerprinting for Indoor Navigation. in 2020 IEEE/ION Position, Location and Navigation Symposium, PLANS 2020., 9110187, 2020 IEEE/ION Position, Location and Navigation Symposium, PLANS 2020, Institute of Electrical and Electronics Engineers Inc., pp. 933-940, 2020 IEEE/ION Position, Location and Navigation Symposium, PLANS 2020, Portland, United States, 4/20/20. https://doi.org/10.1109/PLANS46316.2020.9110187

Imbiriba T, Wu P, Lamountain G, Erdogmus D, Closas P. Recursive Gaussian Processes and Fingerprinting for Indoor Navigation. In 2020 IEEE/ION Position, Location and Navigation Symposium, PLANS 2020. Institute of Electrical and Electronics Engineers Inc. 2020. p. 933-940. 9110187. (2020 IEEE/ION Position, Location and Navigation Symposium, PLANS 2020). doi: 10.1109/PLANS46316.2020.9110187

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title = "Recursive Gaussian Processes and Fingerprinting for Indoor Navigation",

keywords = "fingerprinting, Gaussian Processes, geospatial sensing, Indoor navigation, uncertainty propagation",

author = "Tales Imbiriba and Peng Wu and Gerald Lamountain and Deniz Erdogmus and Pau Closas",

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Recursive Gaussian Processes and Fingerprinting for Indoor Navigation

Publication series

Conference

ASJC Scopus Subject Areas

Keywords

Access to Document

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Cite this