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An ω-Free Gyro-Free Accelerometer Pair Algorithm for 2D Trajectory Reconstruction.

Authors :
Liu, Xinyu
Zhou, Qingfeng
Cheng, Chi-Tsun
Wu, Jianjian
Wang, Xindi
Fan, Lisheng
Source :
IEEE Transactions on Vehicular Technology; Dec2020, Vol. 69 Issue 12, p16173-16177, 5p
Publication Year :
2021

Abstract

In general, a two-dimensional (2D) moving trajectory can be reconstructed using data collected from a 6-axis IMU (inertial measurement unit), which consists of a 3-axis gyroscope and a 3-axis accelerometer. Since the power consumption of a gyroscope is significantly larger than that of an accelerometer, to be energy-efficient, it is more preferable to use two gyro-free IMUs as alternatives. The existing gyro-free trajectory reconstruction approach is an angular velocity (i.e. ω) -based method. The design of an ω-free gyro-free approach remains as a research gap, which motivates this research work. In this paper, an ω-free accelerometer pair (OFAP) method is proposed, which can yield a lower accumulated error, has a lower power consumption, is more scalable, and can deliver the same trajectory reconstruction performance as the existing approach. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00189545
Volume :
69
Issue :
12
Database :
Complementary Index
Journal :
IEEE Transactions on Vehicular Technology
Publication Type :
Academic Journal
Accession number :
148381162
Full Text :
https://doi.org/10.1109/TVT.2020.3043050