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Detection and Compensation of Degeneracy Cases for IMU-Kinect Integrated Continuous SLAM with Plane Features †

In a group of general geometric primitives, plane-based features are widely used for indoor localization because of their robustness against noises. However, a lack of linearly independent planes may lead to a non-trivial estimation. This in return can cause a degenerate state from which all states...

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Detalles Bibliográficos
Autores principales: Cho, HyunGi, Yeon, Suyong, Choi, Hyunga, Doh, Nakju
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5948940/
https://www.ncbi.nlm.nih.gov/pubmed/29565287
http://dx.doi.org/10.3390/s18040935
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author Cho, HyunGi
Yeon, Suyong
Choi, Hyunga
Doh, Nakju
author_facet Cho, HyunGi
Yeon, Suyong
Choi, Hyunga
Doh, Nakju
author_sort Cho, HyunGi
collection PubMed
description In a group of general geometric primitives, plane-based features are widely used for indoor localization because of their robustness against noises. However, a lack of linearly independent planes may lead to a non-trivial estimation. This in return can cause a degenerate state from which all states cannot be estimated. To solve this problem, this paper first proposed a degeneracy detection method. A compensation method that could fix orientations by projecting an inertial measurement unit’s (IMU) information was then explained. Experiments were conducted using an IMU-Kinect v2 integrated sensor system prone to fall into degenerate cases owing to its narrow field-of-view. Results showed that the proposed framework could enhance map accuracy by successful detection and compensation of degenerated orientations.
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spelling pubmed-59489402018-05-17 Detection and Compensation of Degeneracy Cases for IMU-Kinect Integrated Continuous SLAM with Plane Features † Cho, HyunGi Yeon, Suyong Choi, Hyunga Doh, Nakju Sensors (Basel) Article In a group of general geometric primitives, plane-based features are widely used for indoor localization because of their robustness against noises. However, a lack of linearly independent planes may lead to a non-trivial estimation. This in return can cause a degenerate state from which all states cannot be estimated. To solve this problem, this paper first proposed a degeneracy detection method. A compensation method that could fix orientations by projecting an inertial measurement unit’s (IMU) information was then explained. Experiments were conducted using an IMU-Kinect v2 integrated sensor system prone to fall into degenerate cases owing to its narrow field-of-view. Results showed that the proposed framework could enhance map accuracy by successful detection and compensation of degenerated orientations. MDPI 2018-03-22 /pmc/articles/PMC5948940/ /pubmed/29565287 http://dx.doi.org/10.3390/s18040935 Text en © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Cho, HyunGi
Yeon, Suyong
Choi, Hyunga
Doh, Nakju
Detection and Compensation of Degeneracy Cases for IMU-Kinect Integrated Continuous SLAM with Plane Features †
title Detection and Compensation of Degeneracy Cases for IMU-Kinect Integrated Continuous SLAM with Plane Features †
title_full Detection and Compensation of Degeneracy Cases for IMU-Kinect Integrated Continuous SLAM with Plane Features †
title_fullStr Detection and Compensation of Degeneracy Cases for IMU-Kinect Integrated Continuous SLAM with Plane Features †
title_full_unstemmed Detection and Compensation of Degeneracy Cases for IMU-Kinect Integrated Continuous SLAM with Plane Features †
title_short Detection and Compensation of Degeneracy Cases for IMU-Kinect Integrated Continuous SLAM with Plane Features †
title_sort detection and compensation of degeneracy cases for imu-kinect integrated continuous slam with plane features †
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5948940/
https://www.ncbi.nlm.nih.gov/pubmed/29565287
http://dx.doi.org/10.3390/s18040935
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