Results 231 to 240 of about 352,165 (301)

Pilot comparison of monocular and binocular modes of virtual reality field testing in strabismus. [PDF]

open access: yesSci Rep
Liu J   +9 more
europepmc   +1 more source

Circadian Alignment, Cardiometabolic Disease, and Sex-Specific Differences in Adults With Overweight/Obesity.

open access: yesJ Clin Endocrinol Metab
Shafer BM   +5 more
europepmc   +1 more source

A Novel Gyrocompass Alignment Method Under Large Azimuth Misalignment Angle

open access: closedJournal of Shanghai Jiaotong University (Science), 2015
Conventional gyrocompass alignment methods are based on relatively small azimuth misalignment angles. However, a marine strapdown inertial navigation system may face large azimuth misalignment angle caused by a failed coarse alignment algorithm. This paper provides a novel gyrocompass alignment method to solve the problem.
魏凤梅   +4 more
semanticscholar   +5 more sources

A Large Misalignment Angle Initial Alignment Method of SINS Based on Strong Tracking Sparse Grid Gauss Hermite filter

open access: closed2020 International Conference on Computer Engineering and Application (ICCEA), 2020
The large misalignment angle error model of strapdown inertial navigation system (SINS) is a kind of nonlinear Gauss error model. The Gauss Hermite method can approach Gauss integral with any precision, and achieve high precision filtering effect. The number of Gauss Hermite integral points is exponentially related to the dimension of nonlinear system.
Meng Wu, Xunfeng Yin
semanticscholar   +3 more sources

Application of Improved CKF in SINS Initial Alignment with Large Misalignment Angles

open access: closed2020 27th Saint Petersburg International Conference on Integrated Navigation Systems (ICINS), 2020
In order to improve the alignment accuracy and reduce time for the initial alignment of SINS, an improved CKF method is proposed. SINS nonlinear error model with large initial misalignment angles is built up. Based on the basic algorithm of CKF, multiple fading factors are introduced to the covariance matrix of the prediction errors to modulate gain ...
Ying Liu, Tijing Cai, Li-Ming Wu
semanticscholar   +3 more sources

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