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An Improved Initialization Method for Monocular Visual-Inertial SLAM
Version 1
: Received: 29 October 2021 / Approved: 4 November 2021 / Online: 4 November 2021 (11:25:20 CET)
A peer-reviewed article of this Preprint also exists.
Cheng, J.; Zhang, L.; Chen, Q. An Improved Initialization Method for Monocular Visual-Inertial SLAM. Electronics 2021, 10, 3063. Cheng, J.; Zhang, L.; Chen, Q. An Improved Initialization Method for Monocular Visual-Inertial SLAM. Electronics 2021, 10, 3063.
Abstract
In the aim of improving the positioning accuracy of monocular visual inertial simultaneous localization and mapping (VI-SLAM) system, an improved initialization method with faster convergence is proposed. This approach is classified as three parts: Firstly, in the initial stage, the pure vision measurement model of ORB-SLAM is employed to make all the variables visible. Secondly, the frequency of IMU camera was aligned by IMU preintegration technology. Thirdly, an improved iterative method is put forward for estimating the initial parameters of IMU faster. The estimation of IMU initial parameters is divided into several simpler sub-problems, containing direction refinement gravity estimation, gyroscope deviation estimation, accelerometer bias and scale estimation. The experimental results on the self-built robot platform show that our method can up-regulate the initialization convergence speed, simultaneously improve the positioning accuracy of the entire VI-SLAM system.
Keywords
VI-SLAM; Initialization; Localization; optimization
Subject
Engineering, Automotive Engineering
Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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