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Pose estimation using monocular vision and inertial sensors aided with ultra wide band

机译:使用单眼视觉和惯性传感器辅助超宽带进行姿态估计

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This paper presents a method for global pose estimation using inertial sensors, monocular vision, and ultra wide band (UWB) sensors. It is demonstrated that the complementary characteristics of these sensors can be exploited to provide improved global pose estimates, without requiring the introduction of any visible infrastructure, such as fiducial markers. Instead, natural landmarks are jointly estimated with the pose of the platform using a simultaneous localization and mapping framework, supported by a small number of easy-to-hide UWB beacons with known positions. The method is evaluated with data from a controlled indoor experiment with high precision ground truth. The results show the benefit of the suggested sensor combination and suggest directions for further work.
机译:本文提出了一种使用惯性传感器,单眼视觉和超宽带(UWB)传感器进行全局姿态估计的方法。证明了可以利用这些传感器的互补特性来提供改进的全局姿态估计,而无需引入任何可见的基础设施,例如基准标记。取而代之的是,使用同时定位和制图框架,并由少量具有已知位置的易于隐藏的UWB信标支持,与平台的姿态共同估算自然界标。该方法是根据来自具有高精度地面真实性的受控室内实验的数据进行评估的。结果显示了建议的传感器组合的好处,并提出了进一步工作的方向。

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