室外低空飞行环境下视觉惯性导航的松耦合初始化方法

Yibin Wang, Chengwei Yang, Cheng Zhang
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引用次数: 0

摘要

在室外低空飞行环境下,惯性导航自对准初始化方法难以应用于动态环境,因为非自主对准方法在偏差角度较大的情况下精度不高,而且使用视觉信息辅助惯性导航系统初始化的方法依赖于地平提取算法或人工地标的预先部署,灵活性不够。针对上述问题,提出了一种利用视觉信息辅助的松耦合惯性导航系统初始化方法。首先,在视觉前端将特征点分割为天端和地端;并利用运动视觉结构计算摄像机坐标系中的摄像机位姿。然后对相机姿态和加速度、角速度测量值的重新积分进行对齐,得到初始化姿态。利用半实物仿真系统对三种情况进行了低空飞行仿真,验证了算法的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Loose Coupled Initialization Method for Visual Inertial Navigation in Outdoor Low Altitude Flight Environment
In the outdoor low altitude flight environment, the inertial navigation self-alignment initialization method is difficult to apply to the dynamic environment, since the non-autonomous alignment method is not accurate in the case with large misalignment angles, and the method of using visual-information-assisted inertial navigation system initialization relies on the horizon extraction algorithm or the advance deployment of artificial landmarks, which is not flexible enough. To solve the problems above, a loose coupled inertial navigation system initialization method is proposed aided by visual information. First, the feature points are segmented into sky end and ground end at the vision front end. And the camera poses in the camera coordinate system are calculated using the visual structure from motion. Then the camera poses and the re-integration of acceleration and angular velocity measurements are aligned to obtain the initialized poses. The performance of our algorithm is verified by performing a low altitude flight simulation in three cases with a semi-physical simulation system.
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