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Published in 2020 at "Optik"
DOI: 10.1016/j.ijleo.2020.164912
Abstract: Abstract The purpose of this paper is to propose a new transfer alignment approach based on the inertial network. The inertial network is described, and the measurement models are built firstly. The inertial device fusion…
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Keywords:
network;
inertial network;
method;
transfer alignment ... See more keywords
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1
Published in 2022 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2022.3186358
Abstract: Pedestrian dead-reckoning (PDR) is a vital technique in pedestrian localization. Compared with traditional PDR, learning-based inertial odometry has the advantages of smaller position drift and is insensitive to pedestrian motion patterns. However, the heading drift…
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Keywords:
magnetic field;
magnetometer;
inertial odometry;
based inertial ... See more keywords
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Published in 2022 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2022.3183250
Abstract: In this article, we consider the problem of distributed game-theoretic learning in games with finite action sets. A timestamp-based inertial best-response dynamics is proposed for Nash equilibrium seeking by players over a communication network. We…
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Keywords:
nash equilibrium;
best response;
based inertial;
inertial best ... See more keywords