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A fast initialization method of Visual-Inertial Odometry based on monocular camera

机译:基于单眼相机的视觉惯性内径术快速初始化方法

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In recent years, due to the low cost and high precision characteristic of Visual-Inertial Odometry (VIO), VIO has become a hot research issue. However, the common visual and inertial joint positioning takes a lot of time for joint initialization, so improving the speed of the joint initialization is of great significance in real-time operate. This paper will propose a rapid method of joint initialization parameters. Compared with the traditional initialization method, the initialization method mentioned in this paper has a faster initialization speed with little effect on positioning accuracy. The scheme in the paper uses EuRoc dataset under monocular visual and IMU tight coupling system. The experimental results show that the initialization time can be controlled within 10 seconds using the method proposed in this paper.
机译:近年来,由于视觉惯性内径术(VIO)的成本低,精度高,vio已成为一个热门的研究问题。然而,公共视觉和惯性关节定位需要花费大量时间来进行联合初始化,因此提高关节初始化的速度在实时操作方面具有重要意义。本文提出了一种快速的联合初始化参数方法。与传统的初始化方法相比,本文提到的初始化方法具有更快的初始化速度,对定位精度几乎没有影响。本文方案在单眼视觉和IMU紧密耦合系统下使用EUROC数据集。实验结果表明,使用本文提出的方法可以在10秒内控制初始化时间。

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